Databricks Engineer
Tasks
- Build Databricks workflows
- Build cloud data lakes
- Build feature datasets for machine learning
- Design ELT pipelines
- Enforce data governance policies
- Implement MLOps workflows
- Implement Medallion Architecture layers
- Implement data anomaly detection
- Implement data quality checks
- Implement data security and access control
- Ingest semi structured data sources
- Ingest structured data sources
- Ingest unstructured data sources
- Integrate enterprise applications via APIs
- Maintain technical documentation
- Manage metadata and lineage
- Monitor data workflows
- Orchestrate data pipeline dependencies
- Perform code reviews
Perks/Benefits
Skills/Tech-stack
APIs | Access Control | Amazon S3 | Anomaly Detection | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Data Governance | Data Lake Storage | Data Lineage | Data Quality | Data Security | Data masking | Data orchestration | Databricks | Delta Lake | Dimensional Modeling | ELT | Encryption | FERPA | GDPR | MLOps | MLflow | Machine Learning | Medallion Architecture | Monitoring | Python | SQL | Scala | Snowflake Schema | Star Schema | Unity Catalog
Education
N/A
Roles
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