Fabric Engineer

Microsoft Fabric Data Engineer Experience: 5-10 Years (5+ years with Azure / Microsoft Fabric required) Location: USA (Remote) Employment Type: Contract Key Responsibilities Data Migration & Engineering 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. Fabric Data Development 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. Performance & Optimization Optimize Spark jobs, pipelines, and warehouse queries for performance. Implement partitioning, incremental loads, and CDC patterns. Ensure data quality, consistency, and reliability. Security & Governance 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. DevOps & Automation Implement CI/CD pipelines for Fabric artifacts using Git/Azure DevOps. Support environment promotion (Dev Test Prod). Automate deployments and data validation checks. Collaboration & Support 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. Required Skills & Qualifications Technical Skills 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. Preferred / Nice-to-Have Skills Power BI (data modeling, performance tuning). Microsoft Purview / data governance tools. CDC, event-driven ingestion, or streaming experience. Fabric or Azure Data Engineer certifications. Soft Skills 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. Key Deliverables 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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