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Data Engineer / Analytics Engineer (Azure + Fabric + Power BI) ? Job Description
Job Summary
We are seeking a highly skilled Data Engineer / Analytics Engineer with strong experience in Azure Data Lake Services (ADLS), Azure Data Factory (ADF), Microsoft Fabric, Apache Spark, and Python. The ideal candidate will have current hands-on experience in Microsoft Fabric and Power BI, along with a solid foundation in traditional Microsoft BI (MSBI) technologies.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure Data Lake (ADLS), Azure Data Factory (ADF), Microsoft Fabric, and Apache Spark
Build and optimize data processing solutions using Python (PySpark preferred)
Implement Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing
Develop restartable, fault-tolerant pipelines with robust audit and logging frameworks
Develop and manage source control and CI/CD pipelines in Azure DevOps (ADO)
Write and optimize complex SQL queries, stored procedures, and data transformations
Design and manage shared and certified Power BI datasets for enterprise reporting
Design and deliver interactive and performant Power BI dashboards and reports
Implement data modeling techniques (star schema, snowflake schema)
Ensure data quality, governance, and security
Collaborate with cross-functional teams
Troubleshoot performance issues
Support, maintain, and enhance legacy MSBI solutions using SQL Server, SSIS, SSAS, and SSRS
Design and develop ETL workflows using SSIS and manage data models in SSAS
Develop and maintain enterprise reports using SSRS
Participate in modernization and migration of MSBI solutions to Microsoft Fabric architecture
Required Skills & Qualifications
Azure Data Lake Storage (ADLS)
Azure Data Factory (ADF)
Microsoft Fabric
Apache Spark / PySpark
Python for data engineering
Azure DevOps (ADO) ? source control & CI/CD pipelines
Advanced SQL (complex queries, performance tuning, ETL logic)
Power BI (shared datasets, DAX, modeling, visualization)
Strong experience with Microsoft BI (MSBI) stack including SQL Server, SSIS, SSAS, and SSRS
Experience developing ETL pipelines using SSIS, data models using SSAS, and reports using SSRS
Data warehousing concepts and Medallion architecture
Experience
8+ years of overall experience in data engineering / analytics engineering
Current hands-on experience with Microsoft Fabric and Power BI in a modern data platform
Prior experience with Microsoft BI (MSBI) stack including SQL Server, SSIS, SSAS, and SSRS
Preferred Skills
Exposure to Lakehouse architecture / Delta Lake
Knowledge of data governance and cataloging tools
Experience with real-time or streaming data processing
Soft Skills
Strong problem-solving and analytical thinking
Ability to work in a fast-paced, agile environment
Effective communication and stakeholder management skills
Work arrangement
No
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