Sr. Quality Engineer
Tasks
- Design and maintain ETL automation frameworks
- Ensure data governance and regulatory compliance
- Execute SQL and Python data validations
- Implement data quality rules
- Integrate automated data tests into CI CD
- Mentor junior engineers and contribute to best practices
- Monitor data quality using DataGaps
- Own data quality validation end to end
- Perform source to target validation reconciliation anomaly detection
- Track and report defects using Zephyr and Jira
- Validate ETL workflows scheduling failure handling
- Validate cloud based data architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | Agile | Apache Iceberg | CI/CD | Data Governance | Data Management | DataGaps | Docker | Git | GitHub Actions | JMeter | Kubernetes | Lakehouse | PySpark | Pytest | Python | SQL | Selenium | Test Data | Test Data Management | Zephyr
Education
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