Senior Microsoft Fabric Data Engineer

Role Overview

We are seeking a Senior Microsoft Fabric Data Engineer with strong hands-on experience in building modern data platforms. The ideal candidate will play a key role in designing and implementing scalable data solutions using Fabric and Azure data services.

Key Responsibilities

1. Data Engineering & Development

• Design and build data solutions using:
• Lakehouse, Warehouse, and OneLake in Fabric
• Fabric Data Pipelines and Dataflows Gen2
• Develop and maintain scalable ETL/ELT pipelines using:
• Azure Data Factory
• Azure Synapse Analytics
• Azure Databricks
• Implement transformations using PySpark / Python notebooks

2. Data Modeling & Architecture Implementation

• Implement Medallion Architecture (Bronze / Silver / Gold layers)
• Develop optimized data models (star/snowflake schemas)
• Ensure data quality, consistency, and performance
• Work with architects to align with data governance and standards

3. Power BI Development

• Build and optimize Power BI semantic models using Power BI
• Implement:
• Row-Level Security (RLS)
• Incremental refresh
• Aggregations and performance tuning
• Create reusable datasets and dashboards for business users

4. Modernization & Migration

• Contribute to migration initiatives:
• SSIS , Fabric
• ADF / Synapse /Fabric Pipelines
• On-prem SQL /OneLake
• Refactor legacy pipelines into modern Fabric-based solutions

Required Skills

• Strong hands-on experience with Microsoft Fabric (1 year)
• Expertise in PySpark, SQL, and Python
• Experience with Azure data ecosystem tools
• Solid understanding of:
• Data warehousing concepts
• Lakehouse architecture
• ETL/ELT design patterns

Good to Have

• Exposure to CI/CD and DevOps practices
• Experience working in large-scale data platforms
• Microsoft certifications (Fabric / Azure)