Data Engineer
Tasks
- Apply data quality rules and validation
- Build data transformations with Power Query SQL or Python
- Design ETL pipelines
- Develop dimensional models
- Document lineage and transformation logic
- Implement incremental loads
- Maintain data quality dashboards and SLA monitoring
- Manage data refresh schedules
- Support UAT for new data sources
- Support semantic model development
- Troubleshoot pipeline failures and performance issues
- Write optimized SQL transformations
Perks/Benefits
- N/A
Skills/Tech-stack
Assertions | Data Governance | Data Lineage | Data Quality | Data Validation | Dataflow Gen2 | Debugging | Dimensional Modeling | ETL | Git | Incremental loading | Lakehouse | Microsoft Fabric | Performance Tuning | Power Query | Power Query M | Python | Query M | Query Optimization | SQL | SQL Query Optimization | SQL query | Semantic Modeling | Unit Testing | Version control | Window Functions
Education
N/A
Roles
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