Find Your Dream Azure Job in India

Job Purpose (both Onsite / Offshore)

We are looking for a seasoned Azure Architect to lead the design and implementation of high performance, scalable cloud solutions. You will be the bridge between application development and cloud infrastructure, ensuring our .NET applications are not just "on the cloud" but are truly cloud native. The ideal candidate will have a deep background in Platform Engineering, focusing on internal developer experience, automated governance, and robust integration patterns that allow disparate systems to communicate seamlessly.

Job Description / Duties and Responsibilities

• Architectural Leadership: Design end-to-end cloud-native architectures on Azure, focusing on high availability, security, and cost-optimization.

• Platform Engineering: Build and maintain internal developer platforms (IDP) to streamline deployment, observability, and infrastructure provisioning.

• Integration Strategy: Design and implement complex integration patterns using Azure Service Bus, Event Grid, Logic Apps, and API Management (APIM).

• Modern .NET Development: Provide technical oversight and hands-on guidance for .NET Core/8 microservices and serverless functions.

• Infrastructure as Code (IaC): Drive the adoption of Terraform, Bicep, or ARM templates to ensure environment consistency.

• DevSecOps: Implement automated CI/CD pipelines (GitHub Actions or Azure DevOps) with integrated security scanning and compliance checks.

Job Specification / Skills and Competencies

• Azure Mastery: Proven experience with AKS (Azure Kubernetes Service), Azure Functions, App Services, Azure LogicApps, Azure Data Factory, SQL Database, and Cosmos DB.

• Dot Net Expertise: Strong proficiency in C#, ASP.NET Core, and Entity Framework, with a focus on Clean Architecture and Domain-Driven Design (DDD).

• Integration Patterns: Hands-on experience with RESTful APIs, gRPC, and message-based architectures (Pub/Sub).

• Platform Mindset: Experience building scalable delivery pipelines and automated environment provisioning.

• Security: Deep understanding of Azure AD/Entra ID, Managed Identities, and Key Vault. Advantageous Skills (The "Nice-to-Haves")

• Frontend Awareness: Experience with React or modern JavaScript/TypeScript to help bridge the gap between UI requirements and API design.

• Observability: Familiarity with Azure Monitor, Application Insights, and OpenTelemetry.

• Certifications: AZ-305 (Azure Solutions Architect Expert) or AZ-400 (DevOps Engineer Expert). Soft Skills

• Strategic Thinking: Ability to look beyond the immediate sprint and plan for 2-year scalability.

• Mentorship: A passion for upskilling junior and mid-level developers in cloud-best practices.

• Stakeholder Management: Ability to translate complex technical jargon into business value for non-technical stakeholders.

• Adhere to ISMS policies and procedures

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Mandatory Skills

• 5+ years of DevOps experience
• Strong hands-on expertise in:
• Azure Cloud
• Azure DevOps (ADO)
• GitHub / GitHub Actions
• JFrog Artifactory
• SonarQube
• CI/CD pipeline implementation
• YAML-based pipeline configuration
• Code quality & vulnerability scanning integration
• Artifact repository management
• Version control best practices

Good to Have

• Kubernetes / AKS
• Terraform / ARM Templates
• Docker
• Security & compliance automation
• Monitoring tools (App Insights, Azure Monitor)
• Experience in enterprise DevOps transformation projects

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Location: Remote

Engagement Type: Freelance / Contract

Working Hours: Flexible schedule for 2-3.5 hrs between the timeframe of 7:30 PM to 12:30 AM Indian Standard Time (IST) for night shift work.

Compensation: 1000 - 1200 per hour (based on experience)

Role Overview

We are looking for an experienced Azure Data Engineer to support data integration and analytics initiatives. This is a part-time freelance opportunity ideal for professionals seeking flexible working hours.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory
• Work extensively with Azure Synapse Analytics for data warehousing and transformations
• Develop and optimize complex SQL queries, stored procedures, and data models
• Integrate and consume data from various APIs
• Develop automation scripts and data transformation logic using Python
• Monitor, troubleshoot, and optimize data workflows
• Ensure data quality, security, and performance standards

Required Skills

• Strong hands-on experience with:

• SQL
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Python
• API integration
• ETL pipeline development

• Good understanding of data warehousing concepts
• Experience working in Azure cloud environment

Preferred Qualifications

• Prior freelance or remote project experience
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Engagement Details

• Flexible daily commitment: 2-3.5 hours
• Hourly compensation: 1000- 1200 (depending on expertise)
• Immediate joiners preferred

Job Title

AWS Cloud Architect (Primary) / Azure Cloud Architect (Secondary)

Organization: NEC Corporation India Pvt. Ltd.

Reporting To: Senior Manager

Location: Noida (travel as per business requirement)

Role Summary

• Design secure, scalable, resilient, and cost-optimized cloud architectures on AWS (primary), aligned with the AWS Well-Architected Framework.
• Develop hybrid and multi-cloud architectures integrating AWS, Azure, and on-premises environments.
• Lead cloud migration, modernization, and disaster recovery initiatives, ensuring alignment with business objectives and compliance requirements.

Key Responsibilities

• Architect and deliver AWS-first cloud solutions, with Azure used as a secondary platform where required.
• Define and execute cloud migration strategies (rehost, re-platform, re-architect).
• Design and implement Disaster Recovery (DR) and Business Continuity solutions aligned to RTO/RPO, including backup & restore, pilot light, warm standby, and active-active patterns.
• Implement security best practices including IAM, encryption, logging, monitoring, and Zero Trust architecture.
• Establish cloud governance, tagging, access control, and cost optimization (FinOps) frameworks.
• Automate infrastructure provisioning using Terraform (preferred), AWS CloudFormation,

Azure Administrator:

We’re seeking an experienced Senior Azure Administrator to lead identity, security, and platform operations across our Azure environments. This role is responsible for maintaining a secure, high-availability cloud foundation while enabling application, BI, and DevOps teams through strong governance, operational excellence, and rapid incident response. You will play a key role in driving secure identity practices, exposure management, and cost-efficient Azure operations aligned with our cloud-first strategy.

Required Qualifications

• 7+ years of experience in Azure administration, cloud infrastructure, or IAM operations
• Strong expertise with Microsoft Entra ID (Azure AD) , RBAC, and privileged access governance
• Hands-on experience with Azure core services: Virtual Machines, Virtual Networks, Storage, DNS, and App Services
• Experience with Defender for Identity, Defender for Cloud, and Azure security controls
• Proficiency in PowerShell, Azure CLI, or automation scripting
• Strong understanding of networking concepts: VPN, private endpoints, load balancing, and DNS
• Experience with Azure Monitor, Log Analytics, and operational troubleshooting
• Microsoft Azure certifications (AZ-104 or equivalent preferred)
• Experience supporting consulting or managed services environments
• Exposure to infrastructure-as-code tools (B

Job Title: Senior Tech Lead – Azure Data Lake

Overview: We are seeking an experienced Senior Tech Lead to spearhead the design, development, and delivery of enterprise-scale data lake solutions. In this pivotal leadership role, you will manage a cross-functional team of up to 20 engineers, guiding them through complex cloud data platform projects using cutting-edge Microsoft Azure technologies. You’ll work closely with stakeholders across the business and act as a key decision-maker in driving architectural direction, technical strategy, and best practices.

Key Responsibilities:

- Technical Leadership: o Lead the architecture, design, and development of scalable Azure-based data lake solutions. o Provide deep technical guidance on tools such as Azure Synapse, Databricks, SQL, Power BI, and Fabric/Tableau. o Oversee code quality, development standards, and DevOps best practices using Visual Studio, TFS, and Git.

- Team Management: o Manage, mentor, and grow a high-performing team of developers and data engineers. o Foster a culture of collaboration, accountability, and continuous improvement. o Support career development and performance management of team members.

- Project Delivery: o Own end-to-end project delivery, ensuring timely execution within budget and scope. o Collaborate with product owners, business analysts, and enterprise architects in an Agile (SCRUM) environment. o Ensure alignment with enterprise data architec

About Position:

We are seeking an experienced Azure AI Platform Architect to support the migration, optimization, and operationalization of advanced AI workloads. This role will play a critical part in transitioning Retrieval-Augmented Generation (RAG) bots, Machine Learning (ML) models, and GenAI services from cloud-based environments to a high-performance on‑premises GPU infrastructure.

• Role: Azure AI Platform Architect
• Location: Pune
• Experience: 10 to 17years
• Job Type: Full Time Employment

What You'll Do:

• Migration of AI Workloads:
• Transition existing Retrieval-Augmented Generation (RAG) bots, Machine Learning (ML) models, and related services from our current cloud environment to the newly established on-premises GPU cluster. o Refactor and containerize AI workloads (where applicable) for compatibility and optimized GPU utilization.
• Migrate relevant data pipelines, inference services, and orchestration workflows.
• Performance Optimization & Validation:
• Conduct benchmarking to ensure model performance parity or improvement post-migration. Optimize resource allocation for scalability and cost efficiency. o Implement robust monitoring, observability, and version control frameworks.
• Security & Compliance Alignment:
• Ensure adherence to data

Job Description: Azure Infrastructure L2 Engineer We are seeking a highly motivated and skilled Azure Infrastructure L1 Engineer to join our IT team. This role is pivotal in ensuring the smooth operation and maintenance of our Azure cloud infrastructure. The ideal candidate will have hands-on experience with Azure, possess strong technical skills, and be capable of providing excellent support and troubleshooting services. Roles and responsibilities: - Infrastructure Monitoring: Monitor Azure infrastructure to ensure optimal performance and availability. - Issue Resolution: Respond to and resolve infrastructure-related incidents and requests within defined SLAs. - ServiceNow Ticket Handling: Efficiently manage and resolve tickets using the ServiceNow platform. - Maintenance and Support: Perform routine maintenance tasks, including system updates, patches, and backups. - User Support: Provide first-level support to users experiencing issues with Azure services and applications. - Documentation: Maintain accurate and up-to-date documentation of configurations, processes, and procedures. - Collaboration: Work closely with higher-level engineers and other IT teams to escalate and resolve complex issues. - Security Compliance: Ensure infrastructure complies with security policies and best practices. - Performance Optimization: Assist in the identification and implementation of performance improvements. - Automation: Develop and implement basic automation scripts to st

We are seeking an experienced Azure Networking Engineer responsible for designing, implementing, and managing secure and scalable network infrastructure in Microsoft Azure . The ideal candidate should have strong expertise in cloud networking, hybrid connectivity, routing, security controls, and troubleshooting complex network environments.

Key Responsibilities

• Design and implement Azure Virtual Networks (VNet) and subnets
• Configure and manage:
• Network Security Groups (NSG)
• Application Security Groups (ASG)
• User Defined Routes (UDR)
• Deploy and manage:
• Azure Load Balancer (Public/Internal)
• Application Gateway (WAF enabled)
• Azure Firewall
• Azure Bastion
• Configure hybrid connectivity:
• Site-to-Site VPN
• Point-to-Site VPN
• ExpressRoute
• Implement VNet Peering (Global & Local)
• Design Hub-and-Spoke network topology
• Manage private endpoints and Private Link
• Configure Azure DNS (Private & Public)
• Monitor network traffic using Network Watcher and Azure Monitor
• Perform packet capture and troubleshoot latency/connectivity issues
• Implement Zero Trust network architecture principles

Technical Skills Required

Core Azure Networking

• Virtual Network (VNet)
• Subnets & IP addressing

Sr. IT Engineer - Cloud Azure & IAM

Exp: 7+yrs

Location: Hyderabad

Overview:

Senior Systems Engineer with expertise in designing and managing systems architectures. In this role, you will ensure seamless integration and automation across IT environments, collaborating closely with cross-functional teams to enhance system efficiency and reliability. The Engineer supports, implements, and enhances enterprise Identity Access Management systems. This role includes Active Directory and Entra ID environments to ensure secure and efficient access controls. The ideal candidate will collaborate with stakeholders to align IAM solutions with business needs and maintain compliance with security standards.

Responsibilities:

Include, but not limited to:

• Strong knowledge of operating systems (Windows, Linux) and cloud platforms (Azure, AWS)
• Conduct research on new technologies and make relevant recommendations to management
• Perform triage on issues, provide technical solutions, and stay up to date on software releases and updates
• Implement best security, governance, and compliance practices across infrastructure environments
• Scripting and automation to create and run scripts to automate repetitive processes
• Monitoring various IT components and applications for trend analysis and continuous availability
• Familiarity with ticketing syst

Job Description

We’re managing high-volume wind turbine data and need an expert to ensure our timeseries and SCADA event data pipelines are robust and performant.

Tasks :

Process and analyze high-volume timeseries data and SCADA alarms of RWEs global Wind Fleet

Build high-performance pipelines directly within Azure Databricks.

Develop rigorous SQL-based data quality testing to catch sensor drifts and data gaps.

Move beyond "scripts" to production-grade Python/PySpark workflows and CI/CD.

Skills :

Databricks: Python, Spark, Delta Lake

SQL Power User: You use SQL not just for queries, but for advanced data validation and quality frameworks.

Timeseries Expert: Deep experience handling telemetry, sensor logs, and alarm hierarchies.

Domain Knoweldge: Experience in the Wind Industry is the "Golden Ticket"—General SCADA/Manufacturing experience is the silver.

Job Summary

We are looking for a highly skilled Data Operations / Data Support Engineer to act as a critical escalation point for data pipeline issues. The role focuses on ensuring the stability, reliability, and quality of data ingestion and consumption across enterprise platforms. You will work closely with business and technical teams to troubleshoot issues, perform root cause analysis, and implement long-term solutions.

🛠 Key Responsibilities

• Act as the primary escalation point for issues related to data ingestion, data consumption, and data pipelines.
• Proactively monitor data pipeline health to ensure high availability, performance, and uptime.
• Perform root cause analysis on recurring incidents and document long-term corrective and preventive actions.
• Support and enhance data quality checks , identify anomalies, and recommend corrective solutions.
• Troubleshoot complex production issues using SQL and Python .
• Collaborate with engineering, analytics, and business teams to resolve issues efficiently.
• Manage and prioritize multiple support requests using ticketing systems such as ServiceNow or JIRA.
• Contribute to process improvements, monitoring enhancements, and operational best practices.

💡 Technical Skills & Experience

• Strong hands-on experience with SQL and

Hyderabad (Local)

Immediate Joiner (30 days max)

Remote Initial 6 months than Hybrid to client location

Required Skills & Experience

· 10+ years of experience in cloud architecture, platform engineering, or infrastructure engineering. · 6+ years of hands-on experience with Microsoft Azure in enterprise environments. · Proven experience designing and operating large-scale SaaS platforms. · Strong proficiency in: o Azure Networking (VNETs, ExpressRoute, Private Link, Firewalls) o Azure Compute (AKS, VM Scale Sets, Functions, App Services) o Infrastructure as Code (Terraform) o CI/CD tools (Azure DevOps, etc.) o Observability tools · In-depth knowledge of cloud security, identity, and compliance frameworks—especially in healthcare. · Experience with Kubernetes, container platforms, and cloud-native tooling. Strong understanding of platform engineering concepts

Nice to Have Skills & Experience

· Azure certifications such as: o Azure Solutions Architect Expert o Azure DevOps Engineer Expert o Azure Security Engineer · Experience working in regulated industries (healthcare, financial services, government). · Knowledge of Global Regulatory requirements including ISO27001 · Experience with distributed systems design and microservices architecture. Strong communication, leadership, and strategic planning skills.

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