Find Your Dream Engineer Job in India

Job Title: Senior Azure Data Engineer

Job Location: Remote

Skills Required: Azure Synapse, Azure Data Factory, Azure Databricks, and ADLS Gen2, PySpark, SQL,Microsoft Fabrics.

Shift Timings: General Shift

Experience Range: 7-12 Years

Job Summary:

We are seeking a highly skilled and experienced Senior Azure Data Engineer to join our team. The ideal candidate will have deep expertise in Microsoft Azure data services, cloud-based data engineering solutions and modern reporting tools. This role involves leading technical projects, designing scalable data architectures, and delivering actionable insights through BI tools using modern data Lakehouse/warehouse architecture. Ideal candidate should have strong experience with data modelling , ETL/ELT pipeline, and performance tuning. Need to work with Data Architect , Business Analysts and Data Scientists to deliver high quality , reliable and secure data products that enabled advanced analytics.

Technical Skills Required:

Cloud & Data Platforms: Microsoft Azure (Microsoft Fabric, ADF, Synapse, Databricks, ADLS Gen2, Azure SQL, Azure DevOps, Azure Event Hub)

BI Tools: Power BI, Power Automate, Power Apps

Programming Languages: PySpark,Scala,C#, SQL

Databases: SQL Server, Oracle, Snowflake

Version Control: GitHub, Azure DevOps

Other Tools: MS Office Suite, Lucidchart, Draw.io

Please share your resume at with current CTC, expected CTC, and notice period.

Greetings From TCS!

Azure Data Engineer

5 to 10 years

PAN India

Python/Pyspark Experience developing in Azure with key data technologies (e.g. ADLS, ADF, Azure Databricks etc.)

Software development methodologies

Experience working with at least one DevOps tool (GIT, Azure DevOps, Maven, Jenkins)

Prior roles that demonstrate utilisation of high-quality Agile development best practices.

In depth knowledge of at least one scheduling tool (e.g. Control-M, Oozie, ADF, etc.)

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Responsibilities:

1.Pre-sales Technical Requirement Communication: Participate in requirement research and on-site surveys, output electrical solutions, equipment lists (BOM), and cost budget to support bidding and contract signing.

2.Solution Design: Develop integrated control electrical architectures (equipment layer - control layer - scheduling layer - management layer), complete PLC selection, design of electrical schematics, wiring diagrams, and layout diagrams, and write control logic and HMI interfaces.

3.System Integration: Responsible for the electrical integration of PLCs, frequency converters, servos, sensors, and logistics and warehousing automation equipment (AGV/stacker crane/sorting machine), ensuring communication protocol compatibility and data interoperability.

4.Commissioning and Acceptance: Conduct on-site commissioning of electrical systems, resolve linkage and fault issues, assist customers in acceptance, and provide operational training and technical documentation.

5.Operation and Maintenance Support: Responsible for the maintenance, upgrade, and fault troubleshooting of electrical systems in the later stage of the project to ensure long-term stable operation.

6.Timely handle and accurately execute other work tasks assigned by departments and superiors.

Qualifications:

1.Bachelor's degree or above, majoring in Electrical Engineering, Automation, Mechatronics, or related fields.

2.At least 2 years of experience in PLC integration and programming for logistics automation projects; familiar with programming software of mainstream PLC brands (e.g., Siemens); experienced in debugging and fault troubleshooting of logistics equipments.

3.Possess electrical solution design capabilities; able to formulate four-layer architecture schemes according to customer requirements, complete PLC selection, and design of electrical schematics (EPLAN), wiring diagrams, and layout diagrams.

4.Excellent problem-solving ability; customer-oriented, proactively optimize processes.

5.Flexible and efficient team collaboration ability; excellent time management skills; able to accept urgent tasks and strictly comply with safety regulations.

6.English can be used as a working language; able to adapt to business travel.

Organization:

At CommBank, we never lose sight of the role we play in other people's financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Senior Platform Engineer - Oracle EPM

Location: Bangalore

Business & Team: Corporate Technology

Impact & contribution:

Join a visionary team driving the evolution of Finance Systems, with a focus on Oracle EPM SaaS and cloud-native platforms. Architect, build, and operate robust automation and CI/CD pipelines, enabling seamless integration and delivery across AWS and Oracle Cloud environments.

Roles & Responsibilities:

• Design, build, and operate scalable platform solutions for Oracle EPM SaaS, leveraging AWS and Oracle Cloud.
• Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, and other modern tools.
• Implement cloud-native architectures with Docker, Kubernetes, Helm, Terraform, and Ansible.
• Integrate and automate testing services using OpKey/Katalon for EPM cloud.
• Handle data and files using Oracle Integration Cloud (OIC) and manage metadata/reference data with EDMCS.
• Collaborate with vendors (Oracle, AWS) to optimise performance, scalability, and reliability of SaaS solutions.
• Integrate monitoring and security (Prometheus, Grafana, DevSecOps practices) to ensure compliance and protect sensitive data.
• Champion engineering standards: drive best practices in automation, code quality, and agile delivery.
• Mentor and influence: share knowledge, coach peers, and foster a culture of innovation and continuous improvement.

Essential Skills:

• 8+ years of experience
• EPM Architecture & Apps: Solid understanding of Oracle EPM architecture and application landscape.
• REST API Capability: Experience designing and integrating RESTful APIs for automation and integration.
• Test as a Service: Hands-on experience with automated testing frameworks (OpKey, Katalon) for EPM cloud.
• Oracle IAM & Identity Cloud Service: Knowledge of Oracle Identity and Access Management and cloud identity services.
• Tool Expertise:
• OpKey/Katalon (Testing Services)
• Oracle Integration Cloud (OIC) for file/data handling
• EDMCS for metadata/reference data management
• Strategic Automation: Ability to design and implement automation strategies using REST API or Groovy-based frameworks, including data pipeline features for integration.
• Cloud Platform Mastery: Proven experience building and operating platforms in AWS and Oracle Cloud.
• CI/CD Mastery: Designing and implementing pipelines for cloud and SaaS environments.
• Technical Breadth: Python, shell scripting, Ansible, Terraform, Docker, Kubernetes, Helm. And, have solid hands-on experience integration tools and frameworks e.g. Autosys scheduling, SFTP, APIs (including skills like Open API, Swagger, Kong, Akamai
• API Integration: Working with RESTful APIs, OpenAPI/Swagger, and vendor SDKs.
• Security-first mindset: Experience with DevSecOps, compliance, and data protection.
• Agile delivery: Full-cycle development, from design to production support, in cross-functional teams.
• Collaboration & communication: Ability to work with diverse stakeholders, educate and influence, and thrive in a team environment.

Educational Qualifications: Bachelor of Engineering or B.Tech

OpenShift Administrator (L1 & L3) - Hiring Requirement Belapur, Navi Mumbai.

Simple Logic is hiring for experienced OpenShift Administrators (L1 & L3) to join our team in Belapur, Navi Mumbai (Work From Office).

Position : OpenShift Administrator (L1 & L3)

Experience : 3-12 Years

Location : Belapur - Navi Mumbai

Notice Period : Immediate to 30 Days (Preferred)

Job Summary:

We are seeking skilled OpenShift professionals with a strong Linux background and hands-on experience in managing enterprise-grade OpenShift (OCP v4) environments on VMware-based on-prem infrastructure. The role involves cluster management, automation, troubleshooting, and collaboration with cross-functional teams.

Key Responsibilities:

• Perform end-to-end installation and configuration of OpenShift clusters on VMware environments.
• Configure and manage DNS, storage, networking, and logging solutions.
• Administer and maintain OpenShift Container Platform (OCP v4) clusters.
• Manage OpenShift Operators (installation, upgrade, lifecycle).
• Monitor cluster health, performance, and ensure high availability.
• Troubleshoot issues related to pods, routes, registry, and networking.
• Automate operational processes using Shell scripting and Ansible.
• Ensure system security, compliance, and uptime.
• Collaborate with DevOps, Networking, and Security teams for CI/CD and monitoring setup.
• Maintain documentation for infrastructure, processes, and best practices.

Additional Responsibilities for L3 / Team Lead:

• Lead architecture design and implementation of OpenShift clusters.
• Handle critical incident management and perform root cause analysis (RCA).
• Drive automation strategy and performance optimization.
• Mentor L1/L2 team members and ensure operational excellence.
• Work closely with ISD and Infosec teams for audits and security implementations.

Required Skills:

• Strong experience in Linux and OpenShift (OCP v4).
• Good understanding of OpenShift architecture (Pods, Routes, Registry, Operators).
• Experience with DNS, storage, and networking configuration.
• Hands-on experience in troubleshooting OpenShift environments.
• Knowledge of Shell scripting and automation tools like Ansible.

Good to Have:

• Experience with GitLab CI/CD pipelines.
• Knowledge of Docker, Kubernetes, and containerization.
• Familiarity with monitoring and logging tools.
• Networking knowledge (IPTables, firewalld, routing).
• Exposure to VMware vSphere infrastructure.

Apply on

Job Description

To develop web application software as member of product team. Take up ownership of assigned project tasks and collaborate with team members for version releases. Job location is Bangalore. Ability to join within 2 weeks will be an advantage.

Experience & Knowledge

3 to 5 years experience in web application development using ASP.NET Core API framework, Entity Framework and PostgreSQL Database technology stack. Good understanding of architecture of API oriented web application. Experience in UI development using Next.js/React will be big advantage.

Education

Minimum BE/ B.Tech/ MCA in Computer science or equivalent.

Position Responsibilities

• Execute service and change requests within defined SLA and turnaround time (TAT).
• Participate in scheduled operational activities including Disaster Recovery (DR) drills, deployments, and patching.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Understand the current application infrastructure and suggest improvements to it.
• Ensure adherence to cloud best practices and compliance standards using Cloud Security Posture Management (CSPM) tools.
• Assist in identifying root causes and implementing mitigation strategies for critical incidents.
• Collaborate in planning, designing, and solutioning discussions with cross-functional teams.
• Monitor cloud resources for health checks, alerts, and notifications to ensure optimal performance and availability.
• Support both technical and non-technical stakeholders in identifying and optimizing their cloud resources.
• Handle issues and tasks related to cloud infrastructure including networking, Windows, Linux, and other platform-specific components.

Qualifications and Experience Requirement

Qualifications Essential

• Bachelor's degree in computer science, Information Technology, or a related field.
• 5 - 7 years of experience with GCP services and tools.
• Experience with one or more of these solutions: Google App Engine, Cloud Function, Cloud run or open source software communities.
• Knowledge of core data structures and concepts: MVCC, CI/CD Pipelines, HTTP Protocol, web frameworks and common web technologies.
• Basic System/Network Administrator level knowledge of Linux/Unix or Windows systems (from Kernel to Shell and beyond, file systems and client-server protocols).
• Strong experience designing and building multi-tenant IaaS and PaaS cloud solutions with particular emphasis on Google Cloud;
• Exposure to SDLC and continuous delivery toolsets: GitLab CI, TravisCI, CircleCI and Jenkins or comparable tools;
• Knowledge using automation scripting languages: Python, Ansible, Bash or similar;
• Strong experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.);
• Experience in designing and deploying cloud-based applications on GCP and Landing Zone
• Google VPC, Cloud compute engine, Cloud App engine, google API gateway, cloud functions, cloud run, load balancing, cloud web hosting.
• Experience on working with services used for Data Science - BigQuery, Composer, Vertex AI, DataProc and DataFusion.
• GCP management & monitoring Tool (Monitoring, Logging, Error Reporting, Trace, Cloud Console)
• Experience in troubleshooting connectivity issues, VMs, instance groups, OS management, networking issues, storage and service accounts

Skills

• Working knowledge of IaC Tools such as(CloudFormation, Terraform etc)
• Experience with implementing Automation and optimizations using Cloud native and serverless approaches.
• Strong analytical and problem-solving skills with attention to detail.
• Good understanding of ITIL processes including incident, change, and problem management.
• Excellent verbal and written communication skills; able to convey technical information clearly to both technical and non-technical stakeholders.
• Ability to remain calm and focused under pressure, especially during production incidents and critical outages.
• Willingness to work in a 24x7 rotational shift model from the office, including weekends and holidays as required.
• Strong sense of ownership and accountability for tasks and deliverables.
• Collaborative mindset with the ability to work effectively in cross-functional teams.
• Proactive attitude towards learning and continuous improvement.

Greetings from TCS

TCS is hiring for GCP Data Engineer

Required Skill Set: GCP, Bigquery, python, pyspark

Desired Experience Range: 6 to 8 Years

Job Location: Bangalore / Chennai / Hyderabad

Key responsibilities:

As a GCP data engineer the colleague should be able to designs scalable data architectures on Google Cloud Platform, using services like Big Query and Dataflow. They write and maintain code (Python, Java), ensuring efficient data models and seamless ETL processes. Quality checks and governance are implemented to maintain accurate and reliable data.

Security is a priority, enforcing measures for storage, transmission, and processing, while ensuring compliance with data protection standards. Collaboration with cross-functional teams is key for understanding diverse data requirements. Comprehensive documentation is maintained for data processes, pipelines, and architectures.

Responsibilities extend to optimizing data pipelines and queries for performance, troubleshooting issues, and proactively monitoring data accuracy. Continuous learning is emphasized to stay updated on GCP features and industry best practices, ensuring a current and effective data engineering approach.

Key Skills:

- Proficiency in programming languages: Python, Java

- Expertise in data processing frameworks: Apache Beam (Data Flow)

- Hands-on experience with GCP services: Big Query, Dataflow

- Knowledge of data modeling and database design

- Experience in ETL (Extract, Transform, Load) processes

- Familiarity with cloud storage solutions

- Strong problem-solving abilities in data engineering challenges

- Understanding of data security and scalability

- Proficiency in relevant tools like Apache Airflow

Thank you

Bodhisatwa Ray

We are hiring for Data Engineer AZURE

experience - 8+yrs

Location- Pune / Bangalore

Must-Have

(Ideally should not be more than 3-5)

• Previous experience as a data engineer or in a similar role
• Must have experience with MS Azure services such as Data Lake Storage, Data Factory, Databricks, HDInsight, Azure SQL Database, Azure Synapse Analytics, Functions, Pyspark, Python
• Knowledge of programming languages and environments such as Python, Java, Scala, R
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master's is a plus
• Understanding of ETL

Good-to-Have

• Azure certification

Position Responsibilities

• Execute service and change requests within defined SLA and turnaround time (TAT).
• Participate in scheduled operational activities including Disaster Recovery (DR) drills, deployments, and patching.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Understand the current application infrastructure and suggest improvements to it.
• Ensure adherence to cloud best practices and compliance standards using Cloud Security Posture Management (CSPM) tools.
• Assist in identifying root causes and implementing mitigation strategies for critical incidents.
• Collaborate in planning, designing, and solutioning discussions with cross-functional teams.
• Monitor cloud resources for health checks, alerts, and notifications to ensure optimal performance and availability.
• Support both technical and non-technical stakeholders in identifying and optimizing their cloud resources.
• Handle issues and tasks related to cloud infrastructure including networking, Windows, Linux, and other platform-specific components.

Qualifications and Experience Requirement

Qualifications Essential

• Bachelor's degree in computer science, Information Technology, or a related field.
• 5 - 7 years of experience with GCP services and tools.
• Experience with one or more of these solutions: Google App Engine, Cloud Function, Cloud run or open source software communities.
• Knowledge of core data structures and concepts: MVCC, CI/CD Pipelines, HTTP Protocol, web frameworks and common web technologies.
• Basic System/Network Administrator level knowledge of Linux/Unix or Windows systems (from Kernel to Shell and beyond, file systems and client-server protocols).
• Strong experience designing and building multi-tenant IaaS and PaaS cloud solutions with particular emphasis on Google Cloud;
• Exposure to SDLC and continuous delivery toolsets: GitLab CI, TravisCI, CircleCI and Jenkins or comparable tools;
• Knowledge using automation scripting languages: Python, Ansible, Bash or similar;
• Strong experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.);
• Experience in designing and deploying cloud-based applications on GCP and Landing Zone
• Google VPC, Cloud compute engine, Cloud App engine, google API gateway, cloud functions, cloud run, load balancing, cloud web hosting.
• Experience on working with services used for Data Science - BigQuery, Composer, Vertex AI, DataProc and DataFusion.
• GCP management & monitoring Tool (Monitoring, Logging, Error Reporting, Trace, Cloud Console)
• Experience in troubleshooting connectivity issues, VMs, instance groups, OS management, networking issues, storage and service accounts

Skills

• Working knowledge of IaC Tools such as(CloudFormation, Terraform etc)
• Experience with implementing Automation and optimizations using Cloud native and serverless approaches.
• Strong analytical and problem-solving skills with attention to detail.
• Good understanding of ITIL processes including incident, change, and problem management.
• Excellent verbal and written communication skills; able to convey technical information clearly to both technical and non-technical stakeholders.
• Ability to remain calm and focused under pressure, especially during production incidents and critical outages.
• Willingness to work in a 24x7 rotational shift model from the office, including weekends and holidays as required.
• Strong sense of ownership and accountability for tasks and deliverables.
• Collaborative mindset with the ability to work effectively in cross-functional teams.
• Proactive attitude towards learning and continuous improvement.

We're Hiring Data Engineer - Databricks

Locations: Bangalore Chennai Kochi

Experience: 5 to 8 Years

Are you a Data Engineer passionate about building scalable data pipelines and working with modern cloud data platforms? We're looking for talented professionals to join a high-impact data engineering team working on large-scale, cloud-native data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/data pipelines on Databricks
• Work with AWS/Azure data engineering services to process large-scale and real-time data
• Collaborate with cross-functional teams to integrate data from multiple sources
• Optimize data workflows for performance, scalability, and cost efficiency
• Implement data quality checks, monitoring, and validation
• Ensure stability and reliability of data pipelines

Must-Have Skills

• Strong programming experience in Python / PySpark / Scala
• Hands-on experience with Databricks and Apache Spark
• Solid knowledge of AWS or Azure data engineering services
• Expertise in SQL and data warehousing concepts
• Experience building ETL pipelines using ADF / Glue / similar tools

Good-to-Have

• Data modeling knowledge
• Experience with Git/version control
• Understanding of data governance, quality, and security

ANSR is hiring for one of its clients.

ABOUT UNDER ARMOUR:

Our story is a classic American entrepreneurial journey, born from a simple, unmet need identified by an athlete. In 1996, founder Kevin Plank, then captain of the University of Maryland football team, set out to solve the problem of sweat-soaked cotton shirts by creating a moisture-wicking synthetic alternative. That innovation - HeatGear - redefined the athletic base layer and laid the foundation for what is today a global leader in performance apparel, footwear, and accessories.

Headquartered in Baltimore, Maryland, Under Armour is driven by a clear mission - to make all athletes better. This relentless pursuit of better defines who we are, shaping our focus on performance, innovation, and continuous improvement.

OUR PURPOSE:

Building on this global foundation, Under Armour India is purpose-built to access India's top-tier talent and embed the brand's culture into scalable, tech-driven solutions. At its core, this is about empowering those who strive for more - a belief reflected in our values: Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equality.

These values serve as a shared framework that guides how we think, build, and collaborate. They connect teams across geographies, reinforce our purpose, and ensure that everything we do is aligned to a common goal - enabling better outcomes for athletes and the business.

At Under Armour India, this translates into an environment where individuals have the freedom to go further, regardless of role. Teams are empowered to develop and deliver state-of-the-art products and digital solutions that enhance performance and drive impact at scale.

VALUES & INNOVATION:

Across Under Armour globally, our values act as the thread that unites every teammate, shaping a culture grounded in purpose, accountability, and shared ambition. They are not just principles, but active drivers of how we operate, innovate, and grow together.

This culture is deeply anchored in innovation - a continuous pursuit of better that pushes boundaries and challenges convention. Whether through product innovation or digital transformation, teams are enabled to create solutions that elevate performance and redefine possibilities for athletes everywhere.

PURPOSE OF ROLE:

The SAP Integration Lead will support all functional areas of our growing, global business which runs SAP's Fashion Management Solution. Candidate will design and craft enterprise-capable applications and develop solutions quickly by possessing a deep understanding of the business process and using all of our toolsets to deliver solutions to the business

This position will support the integration and data flow between our SAP system and multiple internal and external systems and partners. This position will be developing and maintaining these interfaces using SAP BTP Integration Suite and SAP PI/PO.

YOUR IMPACT (Job Responsibilities)

• Be an expert in Under Armour's SAP Integration landscape using SAP BTP Integration Suite and SAP PI/PO.
• Ability to independently drive issue resolution of issues, develop business knowledge and relationships.
• Participate in design sessions with functional teammates and translate functional requirements to a technical design.
• Work to understand integration requirements with SAP and third-party applications
• Work with internal UA functional analysts and external partners to design, build and test new integrations throughout the UA IT landscape.
• Work with our external consultants to delivery projects and SAP solutions.
• Train and mentor members of the integration team.
• Troubleshoot and resolve production issues as needed, both internally and with our external partners.
• Work closely with our development partners, ensuring they are meeting the needs of Under Armour in a cost-efficient manner. Prepare specifications, business requirements, and work with our vendors and other functional partners to deliver SAP solutions.
• Serve as Level 3 support for development issues the team cannot solve.
• Lead SAP integration teams.
• Develop new and maintain PI maps and configuration
• Function as a senior and/or lead SAP developer on short-duration enhancement projects and long-term implementation projects, sometimes simultaneously.
• Troubleshoot and resolve production issues as needed by evaluating both SAP and custom integrations. Raise issues as required with SAP support and make appropriate changes to Under Armour developed integrations.
• Accurately estimate development time and coordinate/develop work and project plans
• Supervise teammates on the SAP Integration team.
• Supervise work of external consultants.
• Set goals and direction of the SAP Integration team

QUALIFICATIONS:

• Bachelor's degree with typically 8 years of relevant experience or Master's degree with typically 6 years of relevant experience or typically 12 years of relevant work experience without degree
• Hands on experience in multiple full life-cycle SAP ERP project implementations or major cross functional projects is required
• Must be able to demonstrate expert ability in the design, configuration, development, implementation, and support of SAP functionality
• Expert in writing and analyzing SAP PI/PO Graphical Maps and proficient in other mapping styles such as as Java and XSLT.
• Proficient knowledge in data level integration using XML, data mapping, and transformation tools. Should have worked on UDFs, RFC Lookups, XSLT, Message mapping and Java Mapping. Hands on experience in IDOC, BAPI, and RFC.
• Strong skills in standard adapters, IDOC, RFC, File, JDBC adapters, SOAP, JMS, REST, HTTP.
• Hands on experience in ABAP and Java Proxies, Web Services, BPM's, alert framework, proxy setup, ports, RFC destinations
• Knowledge with Design, development, and deploying custom iFlows using SAP BTP Integration Suite within SAP CPI
• Experience with SAP BTP API Management
• Experience with the AFS (Apparel and Footwear Solution), FMS (Fashion Management Solution) and/or S/4 Fashion are preferred
• Possess excellent organizational skills with the ability to manage multiple responsibilities
• Proven experience working as part of a global team is preferred
• Ability to work in a fast-paced, dynamic environment and committed to meeting deadlines?
• Must be a self-starter, proactive, and possess the ability to work with minimal supervision
• Strong consumer-centric focus with proven customer service or client management experience
• Demonstrated experience with mentoring others on methods and best-practices within SAP applications.
• In depth knowledge of applications development, including systems analysis and design techniques, problem determination, project control, contract/vendor administration and structured system development methodologies.
• Familiar with Waterfall and Agile application development methodologies.
• Ability to communicate highly technical information in an understandable manner to non-technical audiences through writing and presentations.

WORKPLACE LOCATION:

• Location: This individual must reside within commuting distance from our office.
• Work Schedule: This role follows a hybrid work schedule, requiring 4 days in-office per week

OUR COMMITMENT TO EQUAL OPPORTUNITY:

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodations are available for applicants with disabilities upon request.

About Role:

We are supporting a global financial data environment, focusing on Market Data infrastructure.

The role involves on-site support for locations in multiple clients within banking environments.

• Perform on-site support activities.
• Execute Linux system operations via command line (no GUI)
• Navigate file systems (find, copy, edit files)
• Start/stop services and monitor system processes
• Troubleshoot:
• Connectivity issues
• Application/service failures
• Communicate effectively with:
• Local client IT teams
• Global teams

Requirements

• Medior Linux / Unix Administrator or System Support Engineer
• Strong hands-on experience with:
• Command-line environments (Linux/Unix)
• File system operations
• Process/service management
• Solid troubleshooting and analytical skills
• Experience in production / banking / financial environments is a strong advantage
• English - mandatory
• Local language - strong advantage

Working model

• Freelance / Contract-based
• Part-time
• Workdays: Saturdays only (6 hours engagement), across multiple months
• Visits scheduled weekly:
• Planning communicated on Mondays for upcoming Saturday
• On-site work - 100%

Who are we?

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade. This is made possible by an international team of 7,600 people across 5 continents and more than 60 countries.

Our expertise is built around four Business Lines: Information System & Digital, Telecom, Life Sciences, and Engineering. We focus on building and nurturing a strong talent community where everyone can grow, evolve, and reach their full potential.

At Amaris, we care about the candidate experience. We aim to be transparent, fast, and constructive, giving clear feedback at every step.

What we offer

• International and challenging projects in a dynamic environment
• A clear collaboration path with regular follow-up
• A multicultural, meritocratic, and entrepreneurial environment
• Access to internal communities and knowledge sharing

Recruitment process

• Brief call: a first conversation to get to know each other and assess alignment
• Interviews: technical and role-related discussions with stakeholders
• Case study: depending on the position, a practical exercise may be required

Key Deliverables:

• Build proposal for Structural System/Framing to adopt Precast construction
• Concept development and design philosophy verification
• Construction friendly design approach
• Complete LLRS design for preliminary as well as detailed analysis
• Prepare budgetary design BoQs
• Interact with Internal and External clients to present and convert proposals
• Peer Review (verification of design and detailing of elements and connections)
• Review assigned projects from L&T construction IC in the areas of buildings and infrastructure projects. To ensure accuracy, standardization and structural integrity in permanent as well as construction phases.
• Finite element modelling of various design elements involved in precast construction for both permanent and temporary design. Micro level modelling and analysis of connections, moulds, lifting devices to explore value engineering
• Research and development related to precast and its application.
• Evaluation of modern materials as well as methodologies
• Explore value engineering areas beyond the conventional wisdom to build cost effective micro solutions, develop suitable test programs, analyse and review reports that will aid design efficiency
• Site Interaction and Inspections
• Visit various sites frequently for a first hand understanding of challenges and evaluation of performance of adopted solutions.
• Focus on continual marginal improvement in design and execution

Namaskaram!

We are seeking a skilled and detail-oriented QA Automation Engineer with 6-8 years of experience in automation testing. You will play a crucial role in ensuring the quality and performance of our web and mobile applications through robust test automation strategies, continuous integration, and close collaboration with cross-functional teams.

Key Responsibilities:

• Design, develop, and maintain automation test scripts for web and mobile (Android & iOS) applications.
• Build and enhance automation frameworks to support scalability and reusability.
• Collaborate closely with developers, product managers, and designers to understand requirements and ensure high-quality delivery.
• Integrate automated tests into CI/CD pipelines and ensure consistent execution.
• Conduct performance and regression testing through automation.
• Document test results, identify bugs, and work closely with engineering teams to resolve issues efficiently.
• Continuously evaluate and recommend improvements to testing tools, frameworks, and processes.

Required Skills:

• 6-8 years of hands-on experience in automation testing of web and mobile applications.
• Proficiency with automation tools such as Selenium, Appium, or similar frameworks.
• Strong programming/scripting skills in Java, JavaScript, or Python for writing test cases.
• Experience with CI/CD tools like Jenkins, GitLab CI, or equivalent.
• Familiarity with Android Studio, Xcode, Postman, and Charles Proxy for debugging and API validation.
• Experience in creating detailed, reusable test cases and test documentation.
• Solid understanding of testing principles, software development life cycle, and Agile/Scrum methodologies.

Good to Have:

• Experience with performance testing tools like JMeter or LoadRunner.
• Knowledge of React Native, Swift, or Objective-C environments.
• Exposure to cloud-based testing platforms like BrowserStack or Sauce Labs.

Before applying, please go through the link below to learn more about us.

Make in India Initiative - AjnaLens featured under the Make in India initiative - Video: "Make in India" -

Company & Product Overview -

• Official Website:
• AjnaLens - India's leading AR, VR & MR technology company
• Smart Glasses Glimpse & Product Highlights:
• LinkedIn Product ShowcaseInstagram Reel 1:
• Instagram Reel 1:
• Instagram Reel 2:

Major Product Launches & Milestones - CES Launch - "AjnaLens at CES 2023 Launching Industry's Most Advanced True Mixed Reality Headset" - Video:

AjnaXR Pro Launch - Official Announcement:

Company LinkedIn -

• Infinite is establishing its India Global Capability Center (GCC) in Pune to expand its engineering, digital, and customer service capabilities. This center will play an important role in supporting mission-critical initiatives while working in close collaboration with global stakeholders.
• This is an opportunity to be part of the early team shaping how the center operates - influencing technology standards, scalable processes, and collaborative ways of working from the outset. Located at Mont Clare, Baner, the center provides a modern work environment designed to foster collaboration, innovation, and long-term career growth.
• This is a unique opportunity to grow alongside a center that is being built with long-term capability and excellence in mind.

• Build from the start - Be part of the early team shaping foundational systems, standards, and ways of working
• Global exposure - Collaborate directly with international stakeholders on impactful engineering and digital initiatives.
• Modern environment, long-term growth - Work from a state-of-the-art office in Baner, Pune, and grow your career within a center designed for sustained capability expansion.
• Built with intent - The India GCC is being developed with a strong focus on capability, ownership, and long-term excellence

• Hybrid, minimum 3 days per week in the office, coordinated with the team to ensure consistent shared in-person working days.

• Daily schedule must include 3 to 4 hours of overlap with U.S. Eastern Time (ET) to support active collaboration with U.S. engineering, product, and platform teams.

• As a hands-on engineer accountable for cloud infrastructure and production platform services, this role requires availability during critical releases, deployments, and production incidents, which may occasionally fall outside standard working hours including early mornings, evenings, or weekends.

• Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• Strong track record designing, building, and operating production-grade cloud infrastructure and platform services, with clear ownership of reliability, security, and operational outcomes. Hands-on Azure experience is preferred, though candidates with equivalent depth on AWS or GCP are encouraged to apply.
• Demonstrated experience with cloud compute, networking, identity and access management, and storage services, with a focus on secure, scalable, multi-environment architectures across Dev, Stage, and Production.
• Expertise in CI/CD pipeline design and automation supporting application code, infrastructure-as-code, data pipelines, and AI/ML artifacts, with working knowledge of deployment strategies such as blue/green and canary releases.
• Hands-on experience with infrastructure-as-code tooling such as Bicep or Terraform for environment provisioning and configuration management.
• Proven experience implementing monitoring, logging, tracing, and alerting for distributed systems, with demonstrated ownership of SLA/SLOs, incident management, root cause analysis, and production stabilization.
• Strong understanding of cloud security, access control, and compliance, including RBAC, secrets management, network isolation, and audit requirements.
• Ships infrastructure and platform improvements incrementally, communicates tradeoffs and operational status clearly across technical and non-technical stakeholders, and treats platform reliability and security as production responsibilities rather than implementation tasks.
• Comfortable using AI coding assistants as part of a standard development workflow, with the judgment to validate, test, and take ownership of AI-generated code and configuration in production contexts.

• Master's degree in computer science, Engineering, or a related field.
• Experience supporting deployment, operation, and lifecycle management of AI models and agents in production, including model versioning, deployment pipelines, runtime monitoring, drift detection, and lifecycle management across MLOps platforms such as Azure AI Foundry, Azure Machine Learning, or equivalent AWS or GCP services.
• Experience implementing observability for AI systems, including inference latency, throughput, error rates, and drift indicators.
• Experience with containerization and orchestration using Docker, Kubernetes, or managed Kubernetes services such as AKS, EKS, or GKE.
• Familiarity with cost optimization strategies and performance tuning across cloud infrastructure and workloads.
• Experience with end-to-end CI/CD across code, data, and model artifacts, ensuring reproducibility and version alignment across environments.
• Familiarity with responsible AI, governance, and compliance frameworks related to AI systems in enterprise environments.
• Hands-on experience within the Microsoft Azure ecosystem, including services such as App Service, Functions, Service Bus, Blob Storage, Key Vault, Application Insights, and AI Foundry, with familiarity with Bicep for infrastructure as code. Candidates with equivalent depth on AWS or GCP are encouraged to apply.

• Design, provision, and operate secure, scalable cloud environments across Dev, Stage, and Production using infrastructure-as-code, ensuring strong environment isolation, networking controls, and identity-based access management.
• Enforce platform security, compliance, and governance standards, including secrets management, RBAC, audit trails, and network isolation across all environments.
• Manage cloud cost optimization and performance tuning across compute, storage, and networking layers, identifying inefficiencies and implementing improvements incrementally.

• Build and maintain end-to-end CI/CD pipelines for application code, infrastructure, data pipelines, and AI/ML artifacts, enabling reproducible, version-aligned releases across environments.
• Implement automated testing, deployment strategies such as blue/green and canary releases, and rollback mechanisms to reduce release risk and improve delivery quality.
• Drive automation and standardization across environments to improve delivery speed, consistency, and operational efficiency.

• Implement and maintain monitoring, logging, tracing, and alerting across distributed systems to ensure high availability and rapid incident response.
• Define and operate against SLA/SLOs, leading incident response, root cause analysis, and systemic improvements that reduce recurrence.
• Support production readiness, go-live, and stabilization for new services and platform changes, ensuring long-term reliability and performance.

• Enable deployment, scaling, and lifecycle management of AI models and agents on the production AI platform, including CI/CD and MLOps workflows that ensure reproducible and version-controlled model releases.
• Implement observability for AI systems, including inference latency, throughput, error rates, and usage patterns . click apply for full job details

Role: Machine Learning Engineering Lead

Location: Thane, Mumbai

Type: Full-Time opportunity

Exp level: 2+ Years

Required Skills & Experience Must Have

• 3+ years building ML/NLP evaluation pipelines in Python

• LLM evaluation techniques: LLM-as-judge, semantic similarity, embedding search, red-team dataset curation

• Experience designing abstraction layers for heterogeneous data sources (different APIs, formats, completeness levels)

• Adversarial robustness testing for LLMs (prompt injection, jailbreaking, information extraction)

• AWS services: ECS/Fargate, S3, RDS, SQS, CloudWatch

• Practical implementation of AI ethics, fairness, and bias metrics (not just awareness)

• CI/CD with security-integrated workflows (SAST, dependency scanning)

• Willingness to undergo BPSS-equivalent vetting Strong Preference

• Experience with Responsible AI / AI governance frameworks (NIST AI RMF, ISO 42001, EU AI Act tooling, UK CDEI)

• Government or regulated-sector compliance experience (data residency, audit trails, clearance constraints)

• LLM observability platforms (Langfuse, LangSmith, or similar)

• Multi-tenant or multi-supplier evaluation platform experience

• Published or presented on AI safety, alignment, or Responsible AI measurement

• Led or mentored a small ML team (2-5 people)

Immediate Joiners Only

Duration: Full-time

Location: Sahakarnagar, Bengaluru

Qualification: Master's degree in Optics, Optical Engineering, Applied Physics, or a related field with 3+ years of relevant opto-mechanical systems development experience

Job Responsibilities

• Optical System Design & Analysis

Lead design, modelling, and performance analysis of optical assemblies for space laser communication payloads.

Conduct tolerance analysis, stray light analysis, and system performance predictions using Zemax, Code V, or equivalent tools.

Optimize optical architectures for manufacturability, reliability, and mission constraints.

• Integration & Qualification

Own alignment and testing of optical systems through prototyping, environmental testing, and final qualification.

Drive troubleshooting and issue resolution during critical development phases under aggressive timelines.

• Component Definition & Procurement

Develop detailed specifications for lenses, coatings, detectors, and related subsystems.

Partner with vendors and suppliers to ensure delivery of high-quality, space-qualified components.

• Cross-functional Collaboration

Work with mechanical, avionics, and systems teams to ensure seamless integration of optics in the final system.

Provide technical leadership in design reviews and mentor junior engineers on best practices.

• Documentation & Delivery

Prepare design reports, qualification documents, and test results with a high degree of clarity and detail.

Ensure deliverables meet technical and programmatic deadlines.

Required Skills/Experience

• Master's degree in Optics, Optical Engineering, Applied Physics, or a related discipline.

• 3+ years of industry experience in optical system design, analysis, and testing (aerospace, satellite, or high-precision optics preferred).

• Hands-on expertise with optical design software (Zemax, Code V or equivalent).

• Strong knowledge of optical alignment, tolerance analysis, and space environmental factors.

• Good understanding of mechanical design principles & geometric dimensioning & tolerancing (GD&T)

• Practical experience with optical metrology, alignment techniques, system integration, and qualification testing.

• Good documentation & report writing skills

• Proven ability to deliver under tight schedules and demanding program milestones.

Desired Skills/Experience

• Experience with space-qualified materials, adhesives, and opto-mechanical systems.

• Familiarity with MATLAB or Python for data analysis and test automation.

• Experience working with optical benches, collimators, beam profilers etc.

• Knowledge of space optical systems, machining and integration processes

• Strong vendor management and cross-functional collaboration skills.

Other Requirements

• Motivated to work within a multidisciplinary team in a fast-paced environment

• Self-driven desire to learn more & continuously upskill themselves

• Ability to deal with challenges, and work out solutions in a team setting

• Critical thinking, ability to critique design and make independent decisions

• Relentless pursuit of excellence in all aspects of work

• Strong interpersonal and organization skills to enable working in a dynamic team

• Strong verbal and written communication skills

Benefits

• Health Insurance coverage

• Flexible working hours

• Opportunity to publish research on behalf of Astrogate Labs in national and international conferences

If you like working in a fast-paced environment with a talented multi-disciplinary team on developing and maturing state-of-the-art LaserComm systems, then this role might be for you.

Astrogate Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About Us

Astrogate Labs is a space-technology start-up based in Bengaluru, building core technologies in laser communication terminals and networks for small-satellites. Astrogate Labs aims to simplify, reduce cost of communication, and enable satellites send more data to ground. We have developed one of the industry's smallest optical communication terminals targeted for small satellite use, further scaling our products and aiming for our first satellite mission. We aim to revolutionize satellite communications and support the growing satellite downlink needs with a network of optical ground stations and in-space relays using the technologies developed in-house.

Why Join Astrogate Labs?

• Work on cutting-edge technology: Build laser communication systems that are 100x faster than traditional RF, deployed on satellites and defense platforms and the only scalable solution for building inter-planetary internet

• Real impact: Your work will directly contribute to India's space capabilities and national security applications

• Ownership: In a lean & agile team, you'll have significant responsibility and visibility across the entire product lifecycle

• Learning: Work alongside experienced aerospace engineers and advisors

• Growth: Be part of a rapidly scaling startup backed by marquee investors, with clear pathways to leadership roles

Our Culture

We're a startup, which means hustle is part of the DNA. Expect fast iterations and the need to be resourceful. However, we balance this with deep technical rigor - we're building systems that can't afford to fail.

We value:

• Technical excellence with a bias for action

• Collaborative problem-solving across disciplines

• Curiosity and continuous learning

Pragmatism balanced with innovation

ANSR is hiring for one of its clients.

ABOUT UNDER ARMOUR:

Our story is a classic American entrepreneurial journey, born from a simple, unmet need identified by an athlete. In 1996, founder Kevin Plank, then captain of the University of Maryland football team, set out to solve the problem of sweat-soaked cotton shirts by creating a moisture-wicking synthetic alternative. That innovation - HeatGear - redefined the athletic base layer and laid the foundation for what is today a global leader in performance apparel, footwear, and accessories.

Headquartered in Baltimore, Maryland, Under Armour is driven by a clear mission - to make all athletes better. This relentless pursuit of better defines who we are, shaping our focus on performance, innovation, and continuous improvement.

OUR PURPOSE:

Building on this global foundation, Under Armour India is purpose-built to access India's top-tier talent and embed the brand's culture into scalable, tech-driven solutions. At its core, this is about empowering those who strive for more - a belief reflected in our values: Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equality.

These values serve as a shared framework that guides how we think, build, and collaborate. They connect teams across geographies, reinforce our purpose, and ensure that everything we do is aligned to a common goal - enabling better outcomes for athletes and the business.

At Under Armour India, this translates into an environment where individuals have the freedom to go further, regardless of role. Teams are empowered to develop and deliver state-of-the-art products and digital solutions that enhance performance and drive impact at scale.

VALUES & INNOVATION:

Across Under Armour globally, our values act as the thread that unites every teammate, shaping a culture grounded in purpose, accountability, and shared ambition. They are not just principles, but active drivers of how we operate, innovate, and grow together.

This culture is deeply anchored in innovation - a continuous pursuit of better that pushes boundaries and challenges convention. Whether through product innovation or digital transformation, teams are enabled to create solutions that elevate performance and redefine possibilities for athletes everywhere.

PURPOSE OF ROLE:

The SAP Basis Lead will support all technical areas of our growing, global business which runs on SAP's Fashion Management Solution. Candidate will be responsible for the availability and guaranteed uptime of all enterprise-capable systems, applications and solutions. The candidate must possess a deep understanding of all SAP's tool sets to deliver stable and trusted SAP solutions to the business.

This position will be the go-to person for all escalations for the SAP system landscape that supports the data flow between our SAP systems and multiple internal and external systems and partners. This position will be responsible for maintaining these interfaces across the SAP ecosystem.

YOUR IMPACT (Job Responsibilities):

• Responsible for the management of the SAP environment.
• Responsibilities include configuring, monitoring, tuning, and troubleshooting all SAP landscapes covering all the technical environments on an ongoing basis as well as scheduling and executing the SAP transport system.
• The Sr. Lead collaborates with all parties to resolve SAP transport and source code problems by helping research OSS notes and interprets them to help the functional teams decide on the course of action
• Responsible for the installation, upgrade, and maintenance of SAP systems.
• Additional areas include the evaluation and design of interfaces between SAP and external systems, maintenance of the SAP Data Dictionary and database objects if needed.
• The Senior Lead is also responsible for helping to ensure that any changes and migration of any application code or program configuration to be moved through the SAP landscape accordingly.
• A key area of responsibility is the documentation and updating of the existing SAP environment and work with IT and business units to modernize the SAP environment.
• The SAP Basis Sr. Lead must possess the ability to analyze situations and provide problem resolution.
• Must have Excellent written and oral communication skills.

QUALIFICATIONS:

• Bachelor's degree with typically 8 years of relevant experience or master's degree with typically 6 years of relevant experience or typically 12 years of relevant work experience without degree
• Monitor backend SAP Systems so that issues can be proactively corrected prior to any business impact.
• Provide third level support to the support partners to reduce the time to resolution window.
• Troubleshoot and resolve production issues as needed, both internally and with our external partners.
• Work closely with our SAP HEC provider, ensuring they are meeting the needs of Under Armour in a cost-efficient manner. Prepare outage notifications and technical support specifications, to enhance the process by which business requirements are needed and work with our all our partners to provide a very good user experience.
• Serve as Level 3 support for our UA basis team, and all our support partners to resolve issues
• Works independently with limited supervision
• Lead large enterprise projects
• Hands on experience in multiple full life-cycle SAP ERP project implementations or major cross functional projects required.
• Must be able to demonstrate expert ability in the design, configuration, implementation, and support of SAP systems and heterogenous landscapes
• Experience with the AFS (Apparel and Footwear Solution) and/or FMS (Fashion Management Solution) are preferred.
• Possess excellent organizational skills with the ability to manage multiple responsibilities.
• Proven experience working as part of a global team is preferred.
• Ability to work in a fast-paced, dynamic environment and committed to meeting deadlines.
• Must be a self-starter, proactive, and possess the ability to work with minimal supervision.
• Must have Strong consumer-centric focus with proven customer service or support experience.
• Computer Skills
• Operating system (SUSE or Windows)
• Databases (SAP HANA, SQL Server, Sybase / MaxDB)
• Beside these technical skills a person should have an aptitude for troubleshooting, triaging and being able to escalate issues and a passion for learning new technologies.
• Ability to conduct and oversee incident related meetings and documentations

WORKPLACE LOCATION:

• Location: This individual must reside within commuting distance from our office.
• Work Schedule: This role follows a hybrid work schedule, requiring 4 days in-office per week

OUR COMMITMENT TO EQUAL OPPORTUNITY:

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodations are available for applicants with disabilities upon request.

ANSR is hiring for one of its clients.

ABOUT UNDER ARMOUR:

Our story is a classic American entrepreneurial journey, born from a simple, unmet need identified by an athlete. In 1996, founder Kevin Plank, then captain of the University of Maryland football team, set out to solve the problem of sweat-soaked cotton shirts by creating a moisture-wicking synthetic alternative. That innovation - HeatGear - redefined the athletic base layer and laid the foundation for what is today a global leader in performance apparel, footwear, and accessories.

Headquartered in Baltimore, Maryland, Under Armour is driven by a clear mission - to make all athletes better. This relentless pursuit of better defines who we are, shaping our focus on performance, innovation, and continuous improvement.

OUR PURPOSE:

Building on this global foundation, Under Armour India is purpose-built to access India's top-tier talent and embed the brand's culture into scalable, tech-driven solutions. At its core, this is about empowering those who strive for more - a belief reflected in our values: Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equality.

These values serve as a shared framework that guides how we think, build, and collaborate. They connect teams across geographies, reinforce our purpose, and ensure that everything we do is aligned to a common goal - enabling better outcomes for athletes and the business.

At Under Armour India, this translates into an environment where individuals have the freedom to go further, regardless of role. Teams are empowered to develop and deliver state-of-the-art products and digital solutions that enhance performance and drive impact at scale.

VALUES & INNOVATION:

Across Under Armour globally, our values act as the thread that unites every teammate, shaping a culture grounded in purpose, accountability, and shared ambition. They are not just principles, but active drivers of how we operate, innovate, and grow together.

This culture is deeply anchored in innovation - a continuous pursuit of better that pushes boundaries and challenges convention. Whether through product innovation or digital transformation, teams are enabled to create solutions that elevate performance and redefine possibilities for athletes everywhere.

PURPOSE OF ROLE:

The Site Reliability Engineering (SRE) team at Under Armour drives continuous improvements in performance, resiliency, and operational excellence across our technology platforms. We take a consultative, engineering first approach to reliability- partnering closely with cross functional teams to deliver guidance, automation, and best practices that improve the scalability, stability, and reliability of the services that power our products and digital experiences.

We are seeking a Site Reliability Engineer to help strengthen the reliability and scalability of critical systems. In this role, you will build automation, enhance observability, improve operational workflows, and participate in incident response and problem management. The ideal candidate brings a strong foundation in distributed systems, cloud native platforms, and performance optimization, along with a collaborative mindset and a passion for applying SRE principles across the organization.

Innovation is a core part of how we work at Under Armour. Success in this role requires adaptability, continuous learning, and the ability to pivot as technologies, priorities, and business needs evolve.

YOUR IMPACT (Job Responsibilities):

• Engineer and improve reliable, scalable, and high performing systems supporting critical business services.
• Build automation across deployments, monitoring, alerting, and operational workflows to reduce toil and improve resiliency.
• Partner with engineering and platform teams to apply SRE principles, including SLIs, SLOs, error budgets, and automated remediation.
• Enhance CI/CD pipelines and software delivery processes to improve reliability and efficiency.
• Develop observability solutions across metrics, logs, and distributed tracing to improve system visibility.
• Participate in incident response, root cause analysis, and corrective actions to prevent recurrence.
• Support capacity planning, performance tuning, and scaling strategies for cloud native and distributed systems.
• Maintain Infrastructure as Code, cloud configurations, and operational documentation, including runbooks and standards.
• Collaborate with teams to identify reliability risks and drive continuous improvement.

QUALIFICATIONS:

• Bachelor's degree in computer science, Engineering, or a related field with typically 3-5 years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or a related discipline or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.
• Proficiency in one or more programming or scripting languages such as Python, Go, JavaScript, or Bash.
• Solid working knowledge of Linux/Unix based systems.
• Experience building or supporting CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins.
• Familiarity with Infrastructure as Code practices and tools (e.g., Terraform, CloudFormation).
• Experience with containerization and orchestration technologies, including Docker and Kubernetes.
• Understanding of networking fundamentals, distributed systems, and system design principles.

PREFFERED QUALIFICATIONS:

• Handsome experience with modern observability stacks such as Prometheus, Grafana, ELK/EFK, or Datadog. Experience contributing to SLI/SLO frameworks and applying error budgets to guide reliability decisions.
• Exposure to GitOps workflows and tooling such as Argo CD or Flux.
• Working knowledge of service mesh architectures (e.g., Istio, Linkerd).
• Familiarity with performance and load testing tools and techniques.
• Experience with asynchronous and distributed systems, including message queues, event driven architectures, or distributed data platforms.
• Cloud or DevOps certifications (e.g., AWS Associate or Specialty, GCP Professional, Kubernetes CKA/CKS) are a plus.
• Experience operating in largescale enterprise environments and collaborating with globally distributed teams. Experience using AI assisted development tools (such as Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation.
• Understanding of foundational AI/ML concepts, with exposure to cloud native AI services and/or the ability to leverage AI tools to automate cloud and operational tasks.

WORKPLACE LOCATION:

• Location: This individual must reside within commuting distance from our office.
• Work Schedule: This role follows a hybrid work schedule, requiring 4 days in-office per week

OUR COMMITMENT TO EQUAL OPPORTUNITY:

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodations are available for applicants with disabilities upon request.

Launched in 2019 by Landmark Group, Styli Marketplace is the first e-commerce venture of the group, quickly becoming a leading online destination for fashion and lifestyle across the GCC, including Saudi Arabia, the UAE, Kuwait, Bahrain, and beyond. Styli connects global sellers and creators with millions of fashion-forward customers, offering the latest trends, exceptional value, and convenient services like same-day to 48-hour delivery and flexible payment options.

What Are We Looking For?

We are looking for a Site Reliability Engineer who combines deep engineering instincts with an operational mindset.

Qualifications Must-Have

3-6 years of hands-on SRE experience in a high-traffic, consumer-facing product environment.

Strong proficiency with GCP services (GKE, Cloud Run, Pub/Sub, Cloud SQL, Cloud Armor, GCS, IAM).

Deep operational expertise in Kubernetes - from cluster administration to workload tuning and troubleshooting.

Experience with Terraform and Helm for infrastructure and application lifecycle management.

Proficiency in at least one scripting/programming language - Python, Go, or Bash - for automation and tooling.

Hands-on experience with CI/CD platforms and GitOps practices.

Strong understanding of distributed systems, networking fundamentals (DNS, TLS, TCP/IP, HTTP/2), and database reliability patterns

Job Overview

The purpose of this role is to cover primarily the tasks focused on network operations, which include managing and supporting the daily tasks related to Network, such as Firewall, Sdwan, WAF, ADC, Switches maintenance.

The role will require managing a network devices, monitor the network and support L2-L3 incidents and tickets, for customers abroad .

The role will also include performing improvements and applying standard best practices to network devices configuration.

Key Responsibilities

• Offering technical support to customers for systems and configurations
• Designing and implementing network solutions and/or improving the efficiency of current networks.
• Installing, configuring, and supporting network equipment including routers, proxy servers, Load Balancers, switches, WAF, firewalls, DNS and DHCP, Cloud network, VPCs, Transit GWs
• Configuring firewalls, routing and switching to maximize network efficiency and security.
• Provide Proof Of Concept (Demo) for assigned products or solutions
• Implementation of the products/Solutions in customer site
• Documenting cases to reflect the actions taken, reporting of problem status and providing solution(s) or workarounds as developed in a professional timely fashion, over the lifetime of the support request.
• Understand customer systems and configurations, analyze the more technically difficult problems, identify issues and recommend solutions.
• Works closely with customers and other engineers as well as the Account teams.
• Setting customer expectations appropriately and accurately.
• Work closely with principle company engineers to develop workarounds to issues and suggest product changes to accommodate customer needs.

Minimum requirements of role

Essential:

Communication and Soft Skills

• Excellent communication skills in English, both verbal and written
• Critical and analytical thinking and creativity
• Conflict Resolution - ability to resolve problems and complex situations
• Active listening and empathy - ability to listen and understand users to address their needs
• Team player - ability to work with a team and influence a positive collaborative culture
• Ability to prioritize workload appropriately based on the impact on the business

Qualifications

• Bachelor's degree/Diploma in an IT related field or equivalent hands-on experience
• 5 plus years experience in the role of network/ network security engineer

Manufacturers knowledge:

• Fortinet/Palo Alto/Checkpoint
• F5 (ASM, LTM, APM)
• Cisco
• Symantec/Netskope Web Proxy
• AWS/AZURE Understanding

Job Title: Automation Engineer - Mechanical Design

Work Location: Bangalore

About the Company: Established in the year 2005, ZChem Specialties has come a longway to become a full-range NDT company in the areas of Liquid Penetrant Inspection (LPI) and Magnetic Particle Inspection (MPI). Promoted by two experienced Technocrats turned Entrepreneurs, it is one of the few companies in the world offering a complete range of products in consumables and equipment. With a manufacturing facility in Bangalore, India, ZChem currently operates in Pan India, the Middle East, ASEAN, and African countries.

Who Should Join:

Candidates with a technical Background and hunger to grow both in terms of career and personal life, thereby creating their mark in the industry.

• Job responsibilities:
• Design and develop mechanical systems, assemblies, and components for automation machines and SPMs.
• Prepare 2D drawings, 3D models, BOMs, and assembly layouts using CAD software.
• Develop concepts for fixtures, conveyors, robotic cells, inspection stations, and assembly automation systems.
• Coordinate with electrical, controls, and software teams for complete machine integration.
• Select suitable motors, actuators, bearings, linear guides, pneumatic components, and structural materials.
• Conduct design calculations, tolerance stack-up, and motion analysis.
• Ensure designs comply with safety, quality, and ergonomic standards.
• Support prototype development, machine trials, FAT/SAT, and customer acceptance.
• Work closely with production and vendors for fabrication, machining, and assembly feasibility.
• Troubleshoot mechanical issues during installation and commissioning.
• Optimize designs for cost reduction, reliability, and ease of maintenance.
• Maintain engineering documentation as per ISO / IMS standards.

Qualification

• Bachelor's Degree -Mech / Diploma in Mechanical Engineering

Experience

• 3-5 years of experience in automation machine design / SPM design / industrial equipment design

Skills and Competencies:

• Hands-on experience in SolidWorks / AutoCAD
• Strong knowledge of mechanical design principles
• Good understanding of pneumatics, hydraulics, servo systems, and robotics integration
• Knowledge of GD&T, tolerances, and material selection
• Understanding of manufacturing processes such as machining, sheet metal, welding, and assembly
• Exposure to industrial automation systems and machine safety standards
• Problem-solving and analytical skills
• Good communication and cross-functional coordination skills

Job Summary :

We are looking for a skilled and detail-oriented SDET - Automation Engineer with 3 - 7 years of experience in QA and automation. The ideal candidate should have strong hands-on expertise in Python-based automation frameworks, UI & API testing, and experience working in Linux-based CI/CD environments. You will work closely with engineering, DevOps, and product teams to ensure high-quality and reliable software releases.

Core Responsibilities :

• Design, develop, and maintain scalable UI and API automation frameworks.

• Write clean, maintainable, and reusable automation scripts using Python.

• Execute automated test suites and analyze results to identify defects and gaps.

• Collaborate with developers and DevOps teams to integrate automated tests into CI/CD pipelines.

• Perform root cause analysis and debugging in Linux-based environments.

• Participate in test planning, test case design, and release validation activities.

• Track and manage defects using standard defect tracking tools.

• Continuously improve automation coverage, performance, and reliability.

Must-Have :

• 3 - 7 years of experience in QA / SDET roles.

• Minimum 2+ years of hands-on experience in Python programming and automation frameworks.

• Strong experience in UI and API automation framework development.

• Proficiency in Linux commands and debugging in CI/CD environments.

• Solid understanding of QA methodologies, test planning, and defect tracking processes.

• Good working knowledge of Docker and Kubernetes.

• Strong analytical, problem-solving, and troubleshooting skills.

• Excellent communication skills with the ability to collaborate effectively across teams.

Job Location : Aundh, Pune

Employment Type : Full Time and Work From Office.

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

About the Role

We are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.

Key Responsibilities

Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.

Architect and manage automated data ingestion pipelines using Fivetran.

Develop, test, version, and optimize data transformations using dbt.

Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.

Design and maintain job automation and scheduling frameworks for data pipelines.

Apply Git-based version control and collaborative development using VS Code.

Define CI/CD standards, conduct code reviews, and enforce best practices.

Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.

Mentor team members and collaborate with stakeholders to deliver robust data solutions.

Required Skills & Qualifications

10+ years of experience in Data Engineering.

Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses

dbt or similar data transformation frameworks.

Fivetran or similar ELT/data ingestion tools

Elementary or similar data observability tools

Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)

VS Code and Git or similar IDEs and version control system

Strong SQL skills and solid understanding of data warehousing concepts.

Experience working on cloud platforms (preferably AWS).

Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

Data Architect capability, including defining end-to-end data architecture and governance standards.

Experience with dimensional modeling, data lake/lakehouse architectures.

Python scripting for automation and data engineering tasks.

Exposure to BI and analytics tools (Tableau, Power BI, Looker).

Experience in enterprise-scale data platforms.

Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.

Soft Skills & Behavioral Requirements

Self-learner with the ability to quickly adapt to new technologies and tools

Strong grasping ability with a clear understanding of complex systems and workflows

Excellent troubleshooting and root-cause analysis skills

Proactive problem-solver with a hands-on and ownership-driven mindset

Ability to work independently with minimal supervision

Azure Data Engineer (Contract) - INDIA - Fully Remote - 6 Months

We're hiring an experienced Azure Data Engineer to support a growing analytics platform and help scale modern data pipelines in a cloud-first environment. This is a hands-on role focused on building reliable data foundations that enable reporting, modelling and business insights.

What you'll do

• Build and maintain scalable data pipelines in Azure
• Ingest and transform data from multiple enterprise systems (including ERP sources)
• Implement data processing across Medallion architecture layers (Bronze/Silver/Gold)
• Optimize performance, reliability, and data quality across the platform
• Work closely with data modelers and analysts to deliver analytics-ready datasets
• Support downstream reporting and dashboarding use cases

What we're looking for

• Strong experience as a Data Engineer in Azure environments
• Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar
• Solid SQL and data transformation experience
• Experience building ETL/ELT pipelines for analytics workloads
• Understanding of data modelling and working with BI teams
• Experience working with ERP data (Oracle ERP a plus)
• Comfortable in a collaborative, remote team

Details

• Contract: 6 months
• Location: Fully remote (INDIA)
• Level: Mid-Senior to Senior

This role suits someone who enjoys building clean, scalable pipelines and enabling the business to trust and use their data.

Azure Data Engineer (Contract) - INDIA - Fully Remote - 6 Months

We're hiring an experienced Azure Data Engineer to support a growing analytics platform and help scale modern data pipelines in a cloud-first environment. This is a hands-on role focused on building reliable data foundations that enable reporting, modelling and business insights.

What you'll do

• Build and maintain scalable data pipelines in Azure
• Ingest and transform data from multiple enterprise systems (including ERP sources)
• Implement data processing across Medallion architecture layers (Bronze/Silver/Gold)
• Optimize performance, reliability, and data quality across the platform
• Work closely with data modelers and analysts to deliver analytics-ready datasets
• Support downstream reporting and dashboarding use cases

What we're looking for

• Strong experience as a Data Engineer in Azure environments
• Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar
• Solid SQL and data transformation experience
• Experience building ETL/ELT pipelines for analytics workloads
• Understanding of data modelling and working with BI teams
• Experience working with ERP data (Oracle ERP a plus)
• Comfortable in a collaborative, remote team

Details

• Contract: 6 months
• Location: Fully remote (INDIA)
• Level: Mid-Senior to Senior

This role suits someone who enjoys building clean, scalable pipelines and enabling the business to trust and use their data.

Azure Data Engineer (Contract) - INDIA - Fully Remote - 6 Months

We're hiring an experienced Azure Data Engineer to support a growing analytics platform and help scale modern data pipelines in a cloud-first environment. This is a hands-on role focused on building reliable data foundations that enable reporting, modelling and business insights.

What you'll do

• Build and maintain scalable data pipelines in Azure
• Ingest and transform data from multiple enterprise systems (including ERP sources)
• Implement data processing across Medallion architecture layers (Bronze/Silver/Gold)
• Optimize performance, reliability, and data quality across the platform
• Work closely with data modelers and analysts to deliver analytics-ready datasets
• Support downstream reporting and dashboarding use cases

What we're looking for

• Strong experience as a Data Engineer in Azure environments
• Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar
• Solid SQL and data transformation experience
• Experience building ETL/ELT pipelines for analytics workloads
• Understanding of data modelling and working with BI teams
• Experience working with ERP data (Oracle ERP a plus)
• Comfortable in a collaborative, remote team

Details

• Contract: 6 months
• Location: Fully remote (INDIA)
• Level: Mid-Senior to Senior

This role suits someone who enjoys building clean, scalable pipelines and enabling the business to trust and use their data.

Azure Data Engineer (Contract) - INDIA - Fully Remote - 6 Months

We're hiring an experienced Azure Data Engineer to support a growing analytics platform and help scale modern data pipelines in a cloud-first environment. This is a hands-on role focused on building reliable data foundations that enable reporting, modelling and business insights.

What you'll do

• Build and maintain scalable data pipelines in Azure
• Ingest and transform data from multiple enterprise systems (including ERP sources)
• Implement data processing across Medallion architecture layers (Bronze/Silver/Gold)
• Optimize performance, reliability, and data quality across the platform
• Work closely with data modelers and analysts to deliver analytics-ready datasets
• Support downstream reporting and dashboarding use cases

What we're looking for

• Strong experience as a Data Engineer in Azure environments
• Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar
• Solid SQL and data transformation experience
• Experience building ETL/ELT pipelines for analytics workloads
• Understanding of data modelling and working with BI teams
• Experience working with ERP data (Oracle ERP a plus)
• Comfortable in a collaborative, remote team

Details

• Contract: 6 months
• Location: Fully remote (INDIA)
• Level: Mid-Senior to Senior

This role suits someone who enjoys building clean, scalable pipelines and enabling the business to trust and use their data.

Azure Data Engineer (Contract) - INDIA - Fully Remote - 6 Months

We're hiring an experienced Azure Data Engineer to support a growing analytics platform and help scale modern data pipelines in a cloud-first environment. This is a hands-on role focused on building reliable data foundations that enable reporting, modelling and business insights.

What you'll do

• Build and maintain scalable data pipelines in Azure
• Ingest and transform data from multiple enterprise systems (including ERP sources)
• Implement data processing across Medallion architecture layers (Bronze/Silver/Gold)
• Optimize performance, reliability, and data quality across the platform
• Work closely with data modelers and analysts to deliver analytics-ready datasets
• Support downstream reporting and dashboarding use cases

What we're looking for

• Strong experience as a Data Engineer in Azure environments
• Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar
• Solid SQL and data transformation experience
• Experience building ETL/ELT pipelines for analytics workloads
• Understanding of data modelling and working with BI teams
• Experience working with ERP data (Oracle ERP a plus)
• Comfortable in a collaborative, remote team

Details

• Contract: 6 months
• Location: Fully remote (INDIA)
• Level: Mid-Senior to Senior

This role suits someone who enjoys building clean, scalable pipelines and enabling the business to trust and use their data.

• Pipe sizing, BOQ for Piping, fitting, Valves, Pipe supports selection and thermal insulation, Knowledge of Pipe thermal Insulation calculation as per ASME and IS code,
• Good knowledge of piping material selection, Knowledge of ASTM, ASME BPVC and IS code.
• Review of piping Isometric and composite drawings, Interdisciplinary Assignment loading, Knowledge of equipment and piping layout.
• Preparation RFQ, Bid evaluation for all piping, e.g. Alloy steel, Low Pressure piping, Large diameter piping, valves, piping specialties items.

.

Job Title: Technical Support Engineer - Application Management

Experience Level: 3-7 Years

Key Responsibilities:

Application Deployment & Management:

• Manage the deployment of applications, including relevant upgrades and patches, across UAT, Production, and Disaster Recovery (DR) environments.
• Oversee the deployment and basic administration of databases.
• Ensure the continuous uptime and availability of applications, proactively identifying and resolving issues with minimal supervision.
• Coordinate with internal infrastructure teams for any machine, OS, firmware, or networking upgrades and patches, ensuring application compatibility and stability.

Technical Support & Troubleshooting:

• Serve as the first point of contact for internal teams regarding application availability and performance issues.
• Troubleshoot and resolve technical problems related to Linux, windows environments where the application is deployed.
• Escalate complex issues to the application vendor and coordinate with them to ensure timely resolution and maintain service level agreements (SLAs).

Security & Compliance:

• Coordinate with internal security teams to conduct Vulnerability Assessment and Penetration Testing (VAPT) and any compliance related evaluations pertaining to the application.
• Communi

Role: Senior Infosec Engineer

Location: Bavdhan, Pune, Maharashtra, India (On-site)

Industry: Fintech / Financial Services

Role Summary

We are looking for a dynamic and hands-on Senior Infosec Engineer who will be responsible for leading and implementing our information security and cyber-risk strategy. The ideal candidate will have strong experience in fintech or financial services, knowledge of regulatory frameworks (like RBI, SEBI), and the ability to build secure digital systems while enabling growth and innovation.

Key Responsibilities

• Own and lead the company’s overall information security strategy.
• Build and implement policies, procedures, and controls aligned with industry best practices (e.g., ISO 27001, NIST, OWASP).
• Perform risk assessments, security audits, and regular vulnerability assessments of applications and infrastructure.
• Collaborate with engineering, DevOps, and product teams to embed security into the SDLC.
• Oversee data protection strategies (encryption, backups, data access) and ensure regulatory compliance (e.g., RBI, SEBI, GDPR, PCI-DSS if applicable).
• Manage internal and external security audits and ensure remediation of findings.
• Lead incident response planning and execution, including root cause analysis and post-mortem reviews.
• Evaluate and onbo

ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey®. Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American’s Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American’s customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

INTRO:

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard!

WHY YOU’LL LOVE THIS JOB:

You’ll join a diverse, high performing engineeri

Experience: 2-3 Years

Location: Bangalore/Hyderabad

Education: B.E/B.Tech in ECE/EEE or M.E/M.Tech in VLSI/Electronics

Roles and Responsibilities

• Verilog, System verilog, UVM
• VHDL, UVVM
• Simulator exposure with VCS, Questa, Xcelium
• Proficient in simulation and HW languages
• Should be able to interpret various LRMs and comply with semantics and testcase creation.

Share the profiles to raksha.k@acldigital.com.

Position

Group Manager

About JiBe

JiBe is a cloud based fully integrated ERP system for the shipping industry. Our goal is to allow shipping companies to improve productivity, efficiency and safety levels, while reducing costs. JiBe ERP enables increased automation and streamlining of processes, creating pre-defined workflows and reducing the usage of email and paper.

JiBe is looking for a top-notch engineer to join our team. You will have an opportunity to directly impact our growing team.

Job Responsibilities

• Become the manager for a group of 3-5 teams addressing their personal and professional needs as well as participate in analysis, architecture and design efforts related to the solution alongside architects.
• Recruit and build self-organizing agile teams as well as implement career development and personal growth plans and enhance the team members’ technical proficiency level and soft skills.
• Drive improvements to the group’s development methodologies and processes while also contributing to the improvement of the entire organization.
• Manage and drive execution and the day-to-day activities of the group. Assume complete ownership over the group’s products, their quality as well as the production environment and operational requirements.

Qualifications

• A person who encompasses technical skills alongside business and

As for Site Reliability Engineer you aim to solve operational problems by software and have experience in the following areas:

• Practical experience in operating customer-facing services in the Amazon AWS cloud environment, having an AWS Solutions Architect Professional certification or equivalent knowledge.
• A reference project where you have optimized a system for scalability, performance and reliability.
• Knowledge in Site Reliability concepts e.g. having an SRE foundation certification.
• Azure knowledge is a plus
• Software development experience and programming skills in multiple scripting or higher languages (e.g. bash, python).
• Building infrastructure out of source code using Terraform.
• Work experience in Build & Release Management, Deployment Automation Process, CI/CD pipeline (e.g. Jenkins, Puppet, Ansible)
• Software testing and designing test strategies is a plus
• You have designed comprehensive monitoring tools (e.g. Icinga, AWS Cloudwatch, etc.), to collect and analyze data for further system optimization.
• Experience with distributed systems and complex network architecture – DNS, firewalls, routing, tunnels are known to you.
• Experience in agile software environments e.g. Scrum or SAFe
• Linux server administration
• ITIL foundation certification is a plus
• Language: Fluent English a must, other languages a plus.

Dear,

We are hiring for the role of STA Engineer with strong experience in Static Timing Analysis and timing closure. Please find the job details below:

Job Responsibilities:

• Perform Static Timing Analysis (STA) at block and full-chip level
• Work on timing closure , including setup/hold fixes and ECO implementation
• Analyze timing reports across PVT corners and debug violations
• Collaborate with Physical Design, RTL, and Synthesis teams
• Run STA signoff flows using industry-standard tools

Required Skills:

• Hands-on experience with PrimeTime / Tempus
• Strong understanding of timing concepts, SDC, MMMC
• Good debugging and analytical skills
• Experience with OCV/AOCV , derates, and constraints
• Scripting knowledge: TCL / Perl / Python (preferred)
• Understanding of Physical Design flow is an added advantage

Experience:- 3-10 yrs.

Location:- Bangalore

How to Apply:

If interested, please share your updated resume to monikayadav@mirafra.com with the subject line “Application for STA Engineer” .

Role Overview and Responsibilities:

We are seeking an experienced and highly motivated Mechanisms and R&D Lead Engineer to join our Space Systems Engineering team. In this role, you will lead the design, analysis, and development of advanced mechanical systems and mechanisms for spacecraft and deployers. You will take full ownership of mechanism projects from concept design and prototyping through qualification and flight readiness ensuring technical excellence, reliability, and mission success.

You will also be responsible for guiding a team of engineers, driving design innovation, and ensuring adherence to aerospace standards and best practices across all mechanism development activities.

Key Responsibilities Include, but Are Not Limited To:

• Lead end-to-end development of mechanical systems and space mechanisms, including deployment systems, actuators, hinges, latches, and precision assemblies.
• Oversee ongoing projects to ensure technical rigor, schedule adherence, and successful qualification.
• Supervise and mentor a small team of 4–5 engineers, providing technical direction and ensuring alignment across R&D activities.
• Conduct and chair design and drawing reviews, ensuring compliance with GD&T, DFM/DFA principles, and manufacturability standards.
• Prepare and review Interface Control Documents (ICDs), design reports, test plans, and qualification documentation to ma

AI Development Engineer

Experience : 3 to 5 Years

Location : Hyderabad

Notice Period: 30 Days

Job Description:

Robotics Development Engineer to build hardware-accelerated, AI-enabled robotics

software stack for autonomous mobile robots (AMRs) and intelligent robotic systems. In

this role, you will design and implement robotics software that leverages heterogeneous

compute (CPU + GPU + NPU ) to deliver high-performance perception, localization,

planning, and control. You will work across ROS 2, AI pipelines, simulation, and

hardware acceleration, helping bring next-generation autonomous systems from concept

to production.

Preferred Experience:

• Engineer with 8 to 15yrs of experience in embedded Linux/Linux application development.
• More than 5 year of Robotics Development experience
• Expertise in ROS 2
• Understanding of robotics fundamentals: SLAM, navigation, motion planning, control
• Hands-on experience with robotics simulation tools (Gazebo/Ignition, Isaac Sim)
• Strong C/C++ development skills with a good understanding of object-oriented design.
• Experience dealing with Linux community and Open Source contribution a plus
• Experience with ROS2, Robotics Sensors, S

Company Description

G-Origin Product Solutions Pvt Ltd is the strategic bridge between India’s high-precision manufacturing sector and the global marketplace. We empower small to medium-sized OEMs and global distributors by delivering high-quality, India-made products with a relentless adherence to our core hierarchy: Safety >> Quality > Delivery > Cost.

We don't just facilitate transactions; we manage the entire lifecycle. From NDAs and quoting to rigorous supplier audits, PPAP, and real-time production tracking, we ensure that "cost advantage" never comes at the expense of "operational excellence." Whether it's custom components or off-the-shelf goods delivered directly to a distributor's door, G-Origin handles the complexity so our partners can focus on growth.

Beyond the balance sheet, we are committed to the future. We actively partner with manufacturers who prioritize sustainability, specifically those integrating solar or wind energy into their production. At G-Origin, we aren't just shipping products; we’re engineering a more reliable, sustainable global supply chain.

Role Description

This full-time, on-site role based in Pune (Kothrud) is for a Sourcing Engineer (Strategic Sourcing). The Sourcing Engineer will manage supplier evaluation, development, and quality assurance processes. The role involves strategizing procurement efforts, ana

Scaledge Technology is Hiring: Design Verification Engineer with 5+Years of experience in IP or Subsystem verification.

Location: Bangalore

Share updated resume on sneha.khandelwal@scaledge.io

Requirements:

4–6 years of experience in ASIC/SoC Design Verification.

Experience verifying any of the protocols such as SPI, SMBus/I2C, NAND Flash, JTAG, and AXI.

Strong knowledge of System Verilog and UVM methodology.

Hands-on experience with VIP integration and testbench development. Strong debugging and problem-solving skills.

Ability to work effectively in a collaborative team environment.

Self-driven with good communication and interpersonal skills.

Job Summary

We are seeking a technically strong and enthusiastic Mechanical Engineer – Digital Practice to enhance our BIM capabilities across mechanical disciplines. The primary responsibility of this role is to conduct BIM trainings, develop Revit MEP content, and provide hands-on technical support to project teams for BIM-related challenges.

This role is ideal for mechanical engineers passionate about digital transformation, BIM standardization, and automation within engineering workflows.

Key Roles & Responsibilities

1. BIM Training & Knowledge Development

• Conduct structured BIM trainings for Mechanical (HVAC / Fire /Plumbing) teams.
• Develop training modules, exercises, and digital learning materials.
• Assess skill levels and support continuous competency development.
• Act as a BIM mentor for project engineers and designers.

2. Revit MEP Content Development

• Develop and maintain Revit MEP families (HVAC equipment, piping components, fittings, etc.).
• Support development of company BIM templates and standards.
• Ensure parametric accuracy and performance optimization of content.
• Maintain and update digital content libraries as per project requirements.

3. Project Support & Coordination

• Provide technical support to design teams for Revit and Navisworks.
• Assi

Senior Design Verification Engineer

Job Description:

• SV / UVM Test bench development and test cases coding.
• Code and Functional coverage analysis and closure.
• Work with team for verification closure.
• Experience with python or any other scripting language is a plus.
• Bus protocols AXI / APB / UART/ IJTAG protocol working knowledge is an advantage.

Experience : 3 to 8 Years.

Location : Bangalore.

The ideal candidate will be responsible for executing and leading the full design process from ideation to production. You will draw new designs and update our current designs. During the creation process, you will ensure that our designs meeting all necessary design responsibilities.

Responsibilities

• Draw, update, and maintain designs
• Manage multiple complex projects at the same time
• Ensure our designs meet manufacturing, technical and customer Responsibilities
• Ensure that all design projects are completed within budget and time

Qualifications

• Bachelor's Degree or equivalent experience in Mechanical Engineering or relevant technical degree
• CAD experience
• Proficient in Solidworks
• Strong organizational and communication skills

We are looking for a highly skilled Backend Engineer with 8+ years of experience

in developing backend applications and services using Node.js and Nest.js (TypeScript).

The ideal candidate should be excellent at code reviews, have a strong sense of software

design strategy, and thrive in a fast-paced, collaborative environment. A deep

understanding of database systems, microservices architecture at enterprise scale, and

B2B system design will be highly valued.

Responsibilities:

● Design, develop, and maintain scalable, high-performance backend applications and services using Node.js and Nest.js.

● Write and maintain unit test cases to ensure code coverage and quality assurance.

● Collaborate in peer programming sessions to share knowledge and improve code quality.

● Conduct code reviews to maintain high engineering standards across the team.

● Design and maintain database structures using PostgreSQL and MongoDB.

● Optimize PostgreSQL queries and work with ORMs in TypeScript (e.g., TypeORM, Prisma).

● Work with Kafka MQ for message-driven communication and system integrations.

● Build and maintain containerized applications using Docker and Kubernetes.

● Collaborate with cross-functional teams to ensure seamless integration between frontend and backend systems.

● Contribute to architecture design, system scalability, and performance optimization.

We are looking for a hands-on Security Analyst who takes complete ownership of our security posture — across every device, every server, every application, and every user in our environment.

This is not a monitoring-only role. You will actively assess, identify weaknesses, and prescribe and implement the specific steps needed to fix them. You will be the person who detects threats before they become incidents — including threats that come from inside the organization. You will own endpoint security for our Apple device fleet, harden and audit our cloud and on-premise servers, evaluate our SaaS and internal applications for vulnerabilities, and build the processes that keep us secure as we scale.

If you have done this work hands-on — not supervised it, not theorized about it, but actually built and secured real systems — this role is for you.

We are not looking for someone who generates reports and waits for engineers to action them.

What You’ll Be Responsible For

• Endpoint Security — Own Apple/macOS device security end-to-end: MDM enrollment, hardening baselines, patch compliance, and EDR-driven threat response
• Server & Infrastructure Security — Conduct regular assessments of AWS and on-premise servers; produce prioritized remediation plans with specific steps for every finding
• Application Security — Review internal and SaaS a

Hiring Verification Engineer

Location- Noida, Ahmedabad, Bangalore, Pune, Hyderabad, Chennai

Please ignore this mail if you are already in interview process with us or working with us.

Job description:

Experience- 5+ years

· Must have expertise in ASIC verification methodologies and ASIC design flow

· Experience working of SV and UVM methodology and knowledge of at least one industry standard protocols like Ethernet, PCIe, MIPI, USB, AXI, RISC-V, AMBA, DDR or similar is required, must have executed at-least 2 SoC Verification projects

· Experience in any of the listed topics: UVM, formal verification, mixed-signal simulations, power-aware simulations

· Experience in setting up and debugging functional and/or gate-level simulations

· Experience in translating functional requirements into verification plans

· Experience in developing verification environment and regression setup.

· Coverage analysis and closure

<<✍Share resume at medha.gaur@einfochips.com>>

Ascendion is looking for an experienced Python Data Engineer who is working on data platforms and who has worked on big-data platforms projects.

Required Skills & Experience:

Must have/non-negotiable skills:

• Minimum of 7+ years of total relevant experience required.
• Python programming with python libraries experience (Pandas, NumPy, and PySpark). Python scripting profiles will not work here.
• Azure cloud experience.
• Database expertise is crucial – advanced SQL, data modelling, and query optimization are key requirements.
• Cloud Platforms: Experience with major cloud providers (Azure is must) and their data services (e.g., S3, Redshift, BigQuery).
• Communication: Ability to explain technical infrastructure and data lineage to non-technical stakeholders.

About Us:

Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have 30+ offices across the U.S., UK, Poland, Romania, India, Australia and Mexico. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to

Job Description:

We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services.

As part of our ML/AI team, you’ll own the full lifecycle of model development — from data preparation and fine-tuning to inference optimization and deployment in production environments.

Responsibilities:

• Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases
• Build scalable retrieval-augmented generation (RAG) pipelines that combine LLMs with structured/unstructured data sources
• Develop prompt engineering strategies, templates, and evaluation frameworks for LLM-driven workflows
• Collaborate with cross-functional teams to identify and implement AI-driven solutions to business problems
• Optimize models for low-latency inference using quantization, distillation, and other model optimization techniques (e.g., ONNX, TensorRT)
• Build robust data processing, labeling, and augmentation pipelines to improve model performance
• Implement monitoring and evaluation systems for deployed LLMs, ensuring reliability, fairness, and safety
• Stay current

Evolving Systems Networks India Limited.

Job Title: Production Support Engineer (MS – Airtel)

Job Location: Remote, Delhi based.

Required Experience: 1–3 years

Who we are:

Evolving Systems provides software solutions and services to telecommunications

operators (communication service providers, or CSPs) worldwide. The company’s

portfolio includes service activation, SIM and eSIM lifecycle management, number

and asset management, customer value and loyalty management, and digital

engagement solutions. Evolving Systems works with over 100 telecom operators

worldwide, with deployments across five continents, supporting services that reach

more than one billion consumers globally.

Website :

Key Responsibilities:

• Provide Level 1 / Level 2 production support for applications deployed at customer

sites

• Monitor production systems and proactively identify, investigate, and resolve

incidents

• Perform root cause analysis and assist in permanent fix implementation for

recurring issues

• Execute shell scripts and SQL queries for troubleshooting, data validation, and

operational tasks

• Support Oracle database-related activities, including basic performance checks

PHYSICAL DESIGN ENGINEER/LEAD - NOIDA/Ahmedabad/Bangalore/Hyderabad/Pune

(NO WORK FROM HOME OR REMOTE WORK)

Job description: 4 to 15 Years of Hands on Experience

• Block level Physical Design Implementation from RTL to GDSII or Netlist to GDSII,
• Block level Physical Signoff,
• Block level Timing Signoff and ECO generation.
• Block level Power signoff.
• Good skill on Automation (Perl/Tcl/Awk/Python)
• Able to provide technical guidance to Junior Engineer and lead 4-6 engineers.
• Must have led small project team.
• Good in communication skill as he/she would be single point of contact for client.

NO WORK FROM HOME.

Required skills/experience :

• BE/BTech in Computer Science (or a related discipline) with a focus on application/software development
• 3-5 years of work experience in front-end development
• Hands-on industry experience in web-oriented application design, especially for user interface development based on JavaScript frameworks
• Expert knowledge in JavaScript framework, ReactJs, Vue, etc.
• Expert knowledge in HTML5 and CSS3
• Expert knowledge in TypeScript, JavaScript, ReactJs, NodeJS, etc
• Familiarity with object-oriented programming and functional programming
• Work and collaborate within a team
• Require excellent written and oral communication skills in English

What you will do:

• Design and development of user interfaces and components for single-page applications
• Communication on all levels
• Modular and scalable software development
• Tight communication and collaborative work with internal customers

About the Company

Cadence Bangalore is Hiring for Senior Principal Signal Integrity engineer.

About the Role

This is a unique opportunity to join the HPP IP R&D Group at Cadence Design Systems. We are looking for a Sr Principal SI/PI Engineer who will be a key contributor to our advanced high speed IP products. This is a hands-on technical position.

Responsibilities

• Work on test chip package design SI/PI optimization and verification.
• Work on evaluation board design optimization for best SI/PI performance.
• Provide extracted and measured channel models for chip designers in the R&D team.
• Help with package and PCB SI/PI design guidelines and customer support on SI/PI related inquiries.
• Review customer package and board designs and simulation results.
• Help with providing feedback to customers to ensure best possible performance of our IP in their ASIC.
• Work on link performance simulations using S-parameter channel models and IBIS-AMI behavioral models.
• Help with SI/PI related debug of test chips or customer ASICs in the lab.

Qualifications

• M.S. or Ph.D. Electrical Engineering (or similar degree)
• 10+ years of experience preferably working with high speed SerDes and PHYs


Cadence



3 days ago