Enterprise SaaS
2 weeks ago
Data Engineer — Microsoft Fabric (with Power Platform)
Role purpose
Build reliable, observable Fabric pipelines ingesting Salesforce (incl. CPQ) into Lakehouse/Delta with ~5–10 minute updates; extend to Oracle integration in Phase 2, implementing medallion architecture and quality by design.
Responsibilities
- Implement incremental ingestion via Data Factory, Dataflows Gen2 and notebooks (Spark/SQL) ; parameterise, manage secrets, retry/error-handling, SLAs.
- Design bronze/silver/gold layers with testing/expectations, SCD handling and lineage; optimise partitioning and file sizes.
- Build Phase 2 Oracle interfaces (API/flat-file staging), field mappings and validations; support reconciliations.
- Automate environment promotion (Dev/QA/Prod) and CI/CD; expose operational metrics.
- Leverage Power Platform connectors/Dataflows where appropriate; enable Power Automate notifications for pipeline events.
Essential experience
- Fabric engineering at scale (Lakehouse/Delta, pipelines, Spark/SQL), strong SQL/Python/PySpark; Git-based CI/CD.
- Ingesting Salesforce data and integrating Oracle /finance sources.
Desirable
- Event-driven/near-real-time patterns; Purview; DP-203/DP-600.
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