Senior Data Engineer
Tasks
- Apply source control automated testing monitoring and CI CD
- Design scalable ingestion and transformation pipelines
- Develop dimensional and medallion data models
- Enable AI access to governed enterprise data
- Implement data governance and security controls
- Maintain architecture documentation
- Manage Fabric capacity and cost
- Mentor and line manage data engineers
- Migrate Synapse and Azure Data Factory workloads to Microsoft Fabric
- Optimize queries workloads and semantic models
- Write production Python PySpark and SQL
Perks/Benefits
Skills/Tech-stack
Access Management | Apache Spark | Azure Bicep | Azure Data | Azure Data Factory | Azure DevOps | Azure Purview | Azure Synapse | Azure Synapse Analytics | CI/CD | Capacity Planning | Cost Optimization | Data Catalog | Data Classification | Data Factory | Data Lineage | Dimensional Modeling | Direct Lake | Entra ID | GitHub Actions | Infrastructure as Code | Lakehouse | Medallion Architecture | Microsoft Entra | Microsoft Entra ID | Microsoft Fabric | OneLake | Power BI | Power BI Direct Lake | PySpark | Python | SQL | Semantic models | Synapse Analytics | Terraform | Warehouse | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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