Data Engineer (Databricks & Azure) | Senior
Tasks
- Build lakehouse architecture
- Define RAW curated historical strategies
- Deliver governed datasets for Power BI
- Design analytical consumption layer
- Ensure layer separation
- Establish data governance practices
- Establish data observability
- Implement data auditability
- Implement data traceability
- Implement pipeline reprocessing
- Integrate Databricks with Azure Data Lake Storage
- Integrate Power BI end to end
- Maintain monitoring layer
- Manage Databricks SQL Warehouse
- Manage Delta Lake storage
- Support dashboard and KPI development
Perks/Benefits
- Access to cutting-edge technologies
- Collaborative innovation driven environment
- Continuous learning and development
- Hybrid work flexibility
- Remote work flexibility
Skills/Tech-stack
ABAC | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Observability | Data Quality | DataOps | Databricks | Delta Lake | ELT | ETL | MLOps | Monitoring | Power BI | RBAC | SQL | Unity Catalog
Education
N/A
Roles
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