Senior Quality Engineer
Tasks
- Design and maintain ETL automation frameworks
- Ensure compliance with data governance and regulatory standards
- Execute SQL and Python based validations for batch and real time data
- Implement data quality rules null checks schema validation and integrity checks
- Integrate automated data tests into CI CD pipelines
- Mentor junior engineers and contribute to best practices
- Own data quality validation across ingestion transformation and consumption
- Perform source to target validation reconciliation and anomaly detection
- Track and report defects in Zephyr and Jira
- Use data quality monitoring tools
- Validate ETL workflows scheduling and failure handling
- Validate cloud data architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | Agile | Apache Iceberg | CI/CD | Data Integrity | Data Lakehouse | Data Management | Data Quality | Data integrity checks | DataGaps | Docker | ETL Testing | Git | GitHub Actions | Integrity checks | JMeter | Kubernetes | Null Checks | PySpark | Pytest | Python | SQL | Schema Validation | Selenium | Test Data | Test Data Management | Zephyr
Education
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