Found Description
Responsibilities
- Design, develop, and maintain automated data quality checks using AWS Glue and Deequ
- Perform schema validation and manage data load exceptions
- Monitor production ETL pipelines and ensure zero data loss
- Create and execute automated test cases for platform functionality
- Conduct static code analysis and security scans
- Support the agency's Independent Verification and Validation (IV&V) and User Acceptance Testing (UAT) processes
- Validate ETL metadata, data models, and documentation
- Support ad hoc data requests with optimized queries and reports
- Maintain team performance metrics dashboards
- Participate in agile ceremonies using JIRA and GitHub
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field
- 3-5 years of experience in data quality engineering, QA engineering, or data ...