Job Description :

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.

- Design and build data solutions using Fabric Data Pipelines and Dataflows Gen2.

- Develop and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics, and 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, and Aggregations and performance tuning.

- Create reusable datasets and dashboards for business users.

4. Modernization & Migration :

- Contribute to migration initiatives including SSIS to Fabric, ADF / Synapse to Fabric Pipelines, and On-prem SQL to 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, and 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).