Fabric Engineer

Microsoft Fabric Data Engineer Experience:

5-10 Years (5+ years with Azure / Microsoft Fabric required)

USA (Remote)

Contract

Migrate data from Azure SQL databases and legacy ETL pipelines into Microsoft Fabric. Redesign ETL processes and rebuild using Fabric capabilities. Implement Medallion architecture (Bronze, Silver, Gold). Design and Develop efficient ingestion, transformation, and orchestration pipelines.

Build and manage pipelines using Fabric Data Factory. Develop transformations using Spark notebooks (PySpark/SQL). Create and model Fabric Warehouses. Work with OneLake for unified storage and data access.

Optimize Spark jobs, pipelines, and warehouse queries for performance. Implement partitioning, incremental loads, and CDC patterns. Ensure data quality, consistency, and reliability.

Work with Fabric administrators on RBAC, workspace design, and data access controls. Apply data governance standards including naming conventions, lineage, and metadata. Support integration with Microsoft Purview.

Implement CI/CD pipelines for Fabric artifacts using Git/Azure DevOps. Support environment promotion (Dev Test Prod). Automate deployments and data validation checks.

Collaborate with BI teams to enable Power BI semantic models and reporting. Work with stakeholders to understand data requirements and SLAs. Provide production support and troubleshooting.

Strong experience in data engineering using Microsoft Azure. Hands-on experience with Microsoft Fabric, including: Fabric Data Factory Lakehouse & OneLake Spark / Notebooks Fabric Data Warehouse Experience with Azure SQL, SQL Server, and relational databases. Strong SQL and PySpark skills. Knowledge of modern data architectures (Lakehouse, ELT, Medallion). Experience with data migration and modernization projects.

Power BI (data modeling, performance tuning). Microsoft Purview / data governance tools. CDC, event-driven ingestion, or streaming experience. Fabric or Azure Data Engineer certifications.

Strong analytical and problem-solving skills. Ability to work in agile delivery models. Clear communication with technical and non-technical stakeholders. Ownership mindset for data reliability and quality.

Successfully migrated data platform from Azure SQL + ETL to Microsoft Fabric. Scalable and performant Fabric data pipelines. Analytics-ready datasets supporting enterprise reporting and insights

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