Mid Data Engineer
Tasks
- Automate recurring data loads
- Build Microsoft Fabric data engineering solutions
- Design and build cloud native data infrastructure
- Design and implement Medallion Architecture
- Develop ETL/ELT pipelines
- Develop Power BI reports and datasets
- Implement OneLake integration and workflows
- Implement source ingestion connectors
- Model transform and optimize data for analytics
Perks/Benefits
- Career path
- Collaborative work environment
- International customer exposure
- Mentorship programs
- Professional development opportunities
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Governance | Data Modeling | Data Pipelines | Data Transformation | ELT | ETL | Medallion Architecture | Microsoft Fabric | OneLake | Power BI | PySpark | SQL | Synapse Analytics
Education
N/A
Roles
Regions
Countries
States
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