Senior Data Engineer
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Architect data platform
- Build ETL/ELT pipelines
- Build Power BI and Fabric semantic models
- Configure DirectQuery
- Design Medallion Architecture
- Develop Delta Lake tables
- Implement Unity Catalog governance
- Implement row level security
- Ingest data using Autoloader and Eventstream
- Maintain data model and pipeline documentation
- Mentor data engineering team
- Monitor Fabric capacity utilization
- Monitor and optimize pipeline performance
- Set up CI CD for data workloads
- Troubleshoot data quality and pipeline failures
- Troubleshoot schema drift
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS Gen2 | Audit Logging | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Functions | Azure Policy | Azure SQL | Azure SQL Database | CI/CD | CU consumption | DAX | Data Factory | Data Governance | Data Ingestion | Data Lake Storage Gen2 | Data Pipelines | Databricks | Dataflow Gen2 | Delta Lake | Delta Live Tables | Delta Live) | Direct Lake | DirectQuery | EventStream | Fabric Data Pipelines | Fabric Eventstream | Fabric Lakehouse | Fabric semantic models | Logic Apps | Managed Identities | Microsoft Fabric | Power BI | Private Endpoint | PySpark | Python | RBAC | RLS | Row Level Security | SQL | SQL Database | SQL Server | Semantic models | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in IT
Roles
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