Databricks Engineer
Tasks
- Apply responsible AI for development
- Apply version control and automated testing
- Build and optimize ETL/ELT workflows
- Collaborate with cross-functional teams
- Design data pipelines
- Develop PySpark and Spark SQL transformations
- Ensure data quality and performance tuning
- Implement CI/CD pipelines
- Implement medallion architecture
- Monitor scheduled data jobs
- Optimize Delta Lake tables
- Orchestrate Databricks workflows and jobs
Perks/Benefits
Skills/Tech-stack
ACID transactions | AWS Glue | AWS S3 | Agile | Amazon Redshift | Apache Spark | Asset bundles | Automated testing | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | CI/CD | DBT | Data Factory | Data Lake Storage Gen2 | Data Pipelines | Data Quality | Databricks | Databricks (asset) | Databricks Asset Bundles | Databricks Workflows | Delta Lake | ELT | ETL | Git | MLflow | Medallion Architecture | Observability | Optimize | Partitioning | PySpark | Python | SQL | Scala | Scrum | Spark SQL | Streaming Data | Terraform | Time Travel | Unit Testing | Unity Catalog | VACUUM
Education
Roles
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