Number of Resources : 2
Total Work Experience : 8+ years
Relevant Technology-Specific Experience : 3+ years Azure Data Factory/Fabric, 5+ years SQL/ETL pipelines
Responsibilities :
Build scalable, efficient, and secure data ingestion and transformation pipelines on Azure Data Factory and Microsoft Fabric.
Implement event-driven, near real-time, and batch ingestion patterns from on-premises systems into OneLake.
Collaborate with Solution Architect to align on medallion architecture and ingestion strategies.
Optimize data flows for performance, monitoring, and cost efficiency.
Mandatory Skills :
Proven hands-on experience with Fabric and OneLake implementations , migrating on-premise systems via event-driven , near real-time , and batch architectures .
Expertise in SQL, ETL frameworks, and data lake ingestion best practices.
Experience with metadata tagging, lineage tracking, and data quality processes.
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