Mid Data Engineer
Tasks
- Build OneLake based data solutions
- Create semantic models
- Design and build cloud native data infrastructure
- Design dimensional models
- Develop ETL/ELT pipelines
- Develop Power BI dashboards
- Develop PySpark notebooks
- Implement Microsoft Fabric data pipelines
- Implement event driven monitoring and alerting
- Implement lakehouse medallion architecture
- Migrate Alteryx workflows to Microsoft Fabric
- Model data for analytics
- Optimize Azure Data Explorer queries using KQL
- Orchestrate Fabric notebooks
- Set up automated workflows and proactive data monitoring
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Explorer | Azure Monitor | CI/CD | DAX | Data Explorer | Data Modeling | Data Pipelines | Dimensional Modeling | ELT | ETL | Event Driven | Event-driven architecture | Fabric Data Pipelines | Git | KQL | Lakehouse | Medallion Architecture | Microsoft Fabric | OneLake | Power BI | PySpark
Education
N/A
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