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

For applications and inquiries,