Senior Cloud Data Engineer
Tasks
- Apply data governance access controls and lineage
- Build and operate data ingestion pipelines
- Collaborate with business teams to translate requirements into data assets
- Create certified semantic models in Microsoft Fabric
- Define and maintain business metric definitions
- Design data solution architecture end to end
- Develop source system integration patterns
- Implement data quality validation and reconciliation
- Maintain data transformation and data models
- Protect PHI using Microsoft Purview
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Synapse | Azure Synapse Analytics | Change Data Capture | Data Capture | Data Factory | Data Governance | Data Ingestion | Data Lake Storage Gen2 | Data Model | Data Modeling | Data Quality | Data Reconciliation | Data Transformation | Data loading | Fabric Data Factory | HIPAA | Incremental data loading | Lakehouse | Medallion Architecture | Medallion architecture data model | Microsoft Azure | Microsoft Fabric | Microsoft Purview | OneLake | OneLake certified semantic models | Phi | PySpark | Python | SQL | Semantic models | Spark | Synapse Analytics
Regions
Countries
States
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