Senior Data Engineer (Microsoft Fabric)
Tasks
- Build ETL and ELT processes
- Build Power BI datasets and dashboards
- Build and maintain data ingestion pipelines
- Collaborate with architects and stakeholders
- Configure and manage Microsoft Fabric components
- Create semantic models for analytics
- Design enterprise data solutions
- Design secure governed data environments
- Develop lakehouse architectures
- Implement Medallion design
- Implement data quality validation and reconciliation
- Implement row level security
- Integrate REST APIs and external data sources
- Maintain technical documentation and engineering standards
Perks/Benefits
- Agile collaborative environment
- International client exposure
- Professional development
- Remote work
- Technical leadership
- Training and mentoring
- Travel opportunities
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Entra | Azure Entra ID | Azure Key Vault | Azure Synapse | CI/CD | DAX | Data Factory | Data Modeling | Data Quality | Data Reconciliation | Dataflows Gen2 | ELT | ETL | Entra ID | Git | Key Vault | Lakehouse | Medallion Architecture | Microsoft Fabric | OneLake | Power BI | PySpark | Python | REST API | Row Level Security | SQL | Semantic Modeling
Education
N/A
Roles
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