Databricks Engineer
Tasks
- Build and maintain ETL/ELT processes
- Collaborate with data consumers on SLAs and data contracts
- Design and implement data pipelines
- Develop Delta Lake data models
- Ensure data quality and reliability
- Implement CI CD pipelines for Databricks
- Implement data governance with Unity Catalog
- Integrate Databricks with cloud storage services
- Manage and optimize Databricks clusters
- Optimize Spark workloads
- Troubleshoot Spark performance issues
- Work with structured and semi-structured data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS S3 | Airflow | Apache Spark | Auto Loader | Avro | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | CI/CD | CloudFormation | DBT | Data Governance | Data Lake Storage | Databricks | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | ELT | ETL | GCP BigQuery | GitHub Actions | IAM | Infrastructure as Code | JSON | MLflow | Parquet | PySpark | SQL | Scala | Structured Streaming | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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