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 setting

Effective communication and stakeholder management skills

Azure, Azure Service Fabric, Power BI

📌 Technical DevOps Lead (Pune)
🏢 Happiest Minds Technologies
📍 Pune