Fabric data engineer
Tasks
- Build data ingestion and transformation pipelines
- Create and optimize Power BI semantic models
- Design Medallion Architecture layers
- Design data solutions with Microsoft Fabric
- Develop ETL/ELT processes
- Implement Lakehouse and Data Warehouse solutions
- Monitor production jobs troubleshoot failures root cause analysis
- Support Direct Lake analytical capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Security | Data Warehouse | Databricks | Dataflows Gen2 | Delta Lake | Direct Lake | ELT | ETL | Event Driven | Event-driven architecture | Fabric Pipelines | Git | Lakehouse | Medallion Architecture | Microsoft Fabric | Monitoring and observability | OneLake | Power BI | PySpark | SQL | Semantic Modeling | Spark SQL
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Science | Bachelor of Science | Bachelor of Science in Computer Science
Roles
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