- Define data contracts and ensure reliable data availability
- Design, build, and maintain data pipelines
- Develop Python code for data transformations
- Develop and operate ETL ELT workflows
- Document data pipelines schemas and data lineage
- Implement data models for analytics and reporting
- Implement data quality validation checks
- Monitor data pipelines and troubleshoot failures
- Optimize performance scalability and data integrity
- Perform root cause analysis for pipeline issues
- Write SQL queries for extraction transformation and analytics
Perks/Benefits:
- Global team collaboration
- Remote work