Databricks Data Engineer
Tasks
- Build Databricks Workflows notebooks SQL Jobs
- Build metadata driven ETL frameworks
- Build scalable ingestion frameworks
- Design data pipelines
- Design enterprise data models
- Develop Azure Data Lake Storage solutions
- Develop ETL/ELT pipelines
- Develop data engineering frameworks
- Implement CDC and incremental processing
- Implement CI/CD deployment pipelines
- Implement Delta Lake optimization
- Implement Unity Catalog governance
- Implement data quality checks monitoring error handling
- Integrate REST APIs
- Manage environment promotion
- Optimize Spark jobs
- Process JSON XML data
- Support data governance lineage metadata management
- Troubleshoot production issues
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Key Vault | Azure RBAC | Azure Synapse | Broadcast joins | CDC | CI/CD | Data Lake Storage Gen2 | Data Quality | Databricks | Delta Lake | ELT | ETL | Error Handling | Git | JSON | Key Vault | Liquid clustering | Managed Identities | Monitoring | Partitioning | Performance Tuning | PySpark | Python | REST APIs | SCD | SQL | Service principals | Spark SQL | Streaming | Unity Catalog | XML | Z-ordering
Education
N/A
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