Job Overview

we are seeking a microsoft fabric engineer (end-to-end developer) who can design, implement, and manage complete data solutions, including data ingestion, transformation, modeling, security, and reporting. the ideal candidate will have hands-on experience with microsoft fabric, alteryx, ssas cubes, power bi, and role-based security implementations. this role involves working with diverse teams to build scalable, high-performance data architectures while ensuring proper governance, access control, and compliance.

key responsibilities

1. data ingestion & processing

• develop data pipelines using azure data factory, alteryx, ssis, and microsoft fabric.

• extract, transform, and load (etl) data from on-premise and cloud sources into fabric lakehouse, data warehouse, and other storage layers.

• optimize data transformations with alteryx, pyspark, spark sql, and python for performance efficiency.

2. data modeling & storage

• design and implement data warehouse models, ssas cubes, and fabric lakehouse architectures.

• create optimized star schema models, composite models, and direct query solutions for analytical processing.

• maintain structured and unstructured data solutions for reporting and ai/ml workloads.

3. security & role-based access control (rbac)

• configure microsoft fabric role-based access controls (rbac) to manage user privileges.

• implement row-level security (rls) and object-level security (ols) in power bi and ssas.

• manage data governance, access policies, and permissions for data assets in microsoft fabric.

• ensure compliance with data privacy regulations such as hipaa, gdpr, and soc 2.

4. reporting & visualization

• develop power bi dashboards, paginated reports (ssrs), and embedded analytics for business users.

• optimize dax queries, power bi performance tuning, and report rendering.

• implement power bi service features such as dataflows, shared datasets, and deployment pipelines.

5. administration & monitoring

• manage fabric workspaces, data pipelines, onelake storage, and semantic models.

• monitor fabric data pipelines and lakehouse performance for operational efficiency.

• automate monitoring and logging using powershell, kql queries, and azure monitor.

6. collaboration & documentation

• work closely with business stakeholders, analysts, and developers to define data strategies.

• create detailed technical documentation, including data lineage, governance policies, and security frameworks.

• conduct knowledge-sharing sessions for internal teams on microsoft fabric best practices.

qualifications

• experience: minimum 4-6 years in data engineering, business intelligence, and security management, focusing on microsoft fabric, ssas cubes, power bi, ssis, ssrs, and azure data services.

• technical skills:

• strong expertise in alteryx, microsoft fabric, fabric lakehouse, and data warehouse.

• hands-on experience with alteryx, azure data factory, databricks, pyspark, spark sql, and python.

• proficiency in sql, kql, dax, ssas (tabular & multidimensional), ssis, ssrs, power bi.

• experience in rbac, row-level security (rls), object-level security (ols), and fabric security management.

• analytical & problem-solving: ability to debug performance bottlenecks in power bi, optimize etl pipelines, and troubleshoot security issues.

• communication skills: strong team collaboration and stakeholder management.

• education: bachelor's degree in computer science, information technology, or a related field.

• certifications (preferred):

• microsoft certified: azure data engineer associate

• microsoft certified: power bi data analyst associate

• microsoft certified: fabric analytics engineer associate

preferred qualifications

• experience with fabric data activator, data factory pipelines, and real-time streaming.

• knowledge of fabric shortcuts, direct lake mode, and hybrid deployment scenarios.

• strong understanding of compliance, data lineage, and governance policies.

• expertise in integrating power bi with azure synapse, data lake, and external apis.

benefits

• competitive salary and benefits package.

• opportunities for professional development support.

• work in an innovative and collaborative environment.