About the Role
We’re looking for Microsoft Fabric Data Engineers to design, build, and ship production-grade data platforms and Power BI solutions. You’ll work end to end, from ingestion to semantic models and reports. Duration
- 6 Months Employment type
- Contract Total Years of exp
- 4+Years Fabric Specifically
- 1+ year What You’ll Do
• Build and orchestrate data pipelines in Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks)
• Design Lakehouse and Warehouse solutions using Medallion architecture (Bronze, Silver, Gold)
• Develop transformations in PySpark, Python, and SQL
• Build optimized semantic models and DAX measures for Power BI
• Set up Git integration, deployment pipelines, and CI/CD in Azure DevOps or GitHub
• Tune performance and cost, and apply data quality checks and documentation standards Must-Have Skills
• Total

experience:
4–6+ years in data engineering or BI.
• Fabric specifically: 1+ year of hands-on experience.




• Hands-on Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks)
• Robust SQL, Python, and PySpark
• Medallion architecture and dimensional modeling
• Power BI: DAX and semantic models
• Git, CI/CD, and DevOps practices for data projects
• Data engineering fundamentals: ETL/ELT, incremental loads, Delta Lake Nice to Have
• Certifications (not required): DP-700 (Fabric Data Engineer), PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), DP-203 (Azure Data Engineer)
• Experience with Real-Time Intelligence, OneLake shortcuts, or Direct Lake
• Data governance (Purview, RLS/OLS, workspace security)
• Experience migrating from Synapse, Databricks, or legacy BI

What We Offer
• Remote, flexible engagement
• Real production projects

📌 Data Engineer (India)
🏢 Flow Vector
📍 India