Hands on Fabric engineer with significant experience across Fabric data ETL. Makes informed choices between Fabric components (e.g., Lakehouse vs Warehouse; Pipelines, Dataflows, Mirroring, Shortcuts) based on real world constraints. Strong SQL/T SQL; able to rewrite Qlik load scripts into Fabric SQL/T SQL, simplifying and optimising them for Lakehouse/Warehouse. Will work alongside data analysts and developers to migrate E2E Qlik reports into Fabric and Power BI, will need to coach and upskill analysts and developers and document approach, process and best practice
Core Experience (Must Have)
End to end Fabric delivery specifically across storage, ingestion, and ETL in production.
Fabric decision making: practical choices between Lakehouse vs Warehouse, and use of Pipelines, Dataflows, Mirroring, Shortcuts based on real constraints.
Pipelines: set up and run Fabric Pipelines for ETL/ELT (ingestion, orchestration/scheduling) with production grade alerting and monitoring.
Strong SQL incl. T SQL for transformations and optimisation.
Qlik ? Fabric: able to rewrite Qlik load scripts ...