- Extracting, cleansing, and loading data
- Building data pipelines using SQL, Kafka, and other technologies
- Investigate and troubleshoot issues with data and data pipelines
- Investigation and documentation of new data sets
- Implement new data transformation configurations or ad-hoc reports
- Triage incoming bugs and incidents
- Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and define additional implementation details
- Monitor data pipeline execution and performance
- Perform and implement data quality checks to maintain consistent and accurate data
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