- Build data pipelines and notebooks
- Build reliable restartable ingestion processes
- Conduct code reviews and pair programming
- Develop SQL Python PySpark Spark SQL transformations
- Document solutions and naming conventions
- Implement lakehouse and warehouse medallion architecture
- Manage deployments and Git workflows
- Model data into dimensional star schemas
- Monitor optimize and troubleshoot data pipelines
- Set up CI/CD pipelines and release processes
- Unlock source systems
See also
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