Microsoft Fabric Data Engineer Experience: 5+ Years
Role: Microsoft Fabric Data Engineer
Key Skills:
- Microsoft Fabric — Data Factory, OneLake/Data Lake, Synapse, Power BI
- Strong SQL & Python
- Data Engineering, ETL/ELT & Data Integration
- Data Warehouse / Data Lake architecture
- Medallion Architecture — Bronze, Silver, Gold
- Azure Data Factory (ADF), Notebooks & pipelines
- Batch, streaming, API and application data integration
- CI/CD and Azure DevOps
- Data modeling, performance tuning & optimization
- Data governance, security & compliance
- Agile/Scrum/Kanban
Microsoft describes Fabric as an end-to-end analytics platform integrating Data Engineering, Data Factory, Data Warehouse, Power BI and other workloads over shared storage/compute. Preferred: Azure/Fabric certification, Big Data experience, robust data governance knowledge.
Ideal Candidate: A 5+ year Data Engineer with strong hands-on Microsoft Fabric + SQL + Python + Azure/ADF, who has built production-grade data lakes/warehouses and understands Bronze → Silver → Gold architecture.
Must-have screening keywordsMicrosoft Fabric | Data Factory | OneLake | SQL | Python | ETL/ELT | Data Lake | Data Warehouse | Medallion Architecture | Azure | CI/CD | Data Modeling