Data Engineer / Analytics Engineer (Azure + Fabric + Power BI) ? Job Description

Job Summary

We are seeking a highly skilled Data Engineer / Analytics Engineer with solid 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 da

📌 LEAD ENGINEER (India)
🏢 Happiest Minds Technologies
📍 India