Senior Data Engineer
Tasks
- Build Power Automate flows with Azure services and Fabric
- Create Power BI dashboards from Fabric data
- Design build and maintain data ingestion pipelines
- Develop Power Apps for engineering workflows
- Establish development standards and code review practices
- Harden CI CD pipelines with Azure DevOps
- Implement Fabric medallion architecture
- Maintain and extend Dataverse tables and security
- Orchestrate pipelines with Azure Data Factory or Fabric Data Factory
- Provide support and troubleshooting for pipelines flows and apps
- Support governance for environments and DLP policies
- Transform and model data with Python and SQL
Perks/Benefits
- Career development program
- Mentoring program
- Multicultural working environment
- Remote work
- Training
- Wellbeing support
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure DevOps | CI/CD | Data Factory | Data Ingestion | Data Modeling | Data Transformation | Dataflows Gen2 | Dataverse | Lakehouse | Medallion Architecture | Microsoft Fabric | Power Apps | Power Automate | Power BI | PySpark | Python | SQL
Education
N/A
Roles
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