Data Engineer Lead – Microsoft Fabric
- Posted
- Employment
- full time
- Work mode
- onsite
Skills explicitly mentioned: Microsoft Fabric, Data Engineering, Data pipelines, SQL, Data modeling
At Mastech Digital, we solve meaningful business problems using data, AI, and modern digital technologies. Our teams work closely with global enterprises to build solutions that create real, measurable impact. We bring deep industry expertise across Utilities & Energy, Financial Services, Healthcare, Retail, and Technology. With an AI-first mindset and a collaborative culture, we empower our people to innovate, grow, and help clients move forward with confidence. Role: Data Engineer Lead – Microsoft Fabric Location: Chennai/ Bangalore, India (Onsite) Employment Type: Full-Time Years of Experience: 3+ years Education/Qualification: Bachelor’s degree in a related field Submit Resume To: recruitment.helpdesk@mastechdigital.com Role Description: The Data Engineer Lead must have 3+ years of experience. We are looking for a Data Engineer Lead with strong Microsoft Fabric and Purview expertise. You will build scalable data pipelines, implement Lakehouse architectures on OneLake, and establish data governance for enterprise clients. Technical Skills Required (6-8 of the following): - Fabric Lakehouse and OneLake for unified data storage - Data Factory pipelines and Dataflows Gen2 for ingestion - Fabric Data Warehouse and SQL analytics endpoints - Microsoft Purview: data catalog, lineage, and classifications - Eventstream and Real-Time Analytics for streaming workloads - Delta Lake tables and V-Order optimization in Fabric - Spark Notebooks with PySpark for transformations - Shortcuts and mirroring for external data integration Experience: - 3+ years in data engineering with at least 1 year on Fabric or Azure Synapse - Delivered 2+ Lakehouse implementations or large-scale pipeline projects - Clear communication skills for client interactions and technical documentation Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.