Data Engineer

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