Sr. Data Quality Engineering Analyst
Tasks
- Build automated data validation frameworks
- Coordinate validation and certification activities
- Create test plans and test scenarios
- Develop test scripts for automated validation
- Embed data quality controls in data pipelines
- Guide junior team members on validation approach
- Identify and socialize project risks
- Monitor data health with KPIs and SLAs
- Review test execution results
- Set up test environments
- Track quality assurance metrics defect leakage and defect density
- Understand business processes and requirements
- Validate critical business applications
Perks/Benefits
- 401k matching
- Adoption Assistance
- Discounts
- Flex day Friday
- Generous parental leave
- Hybrid work schedule
- Medical, dental coverage
- Onsite childcare
- Onsite dining
- Onsite gym
- Paid time off
- Prescription drug benefits
- Tuition & Education benefits
- Tuition reimbursement
- Volunteer time off
Skills/Tech-stack
AWS | Anomaly Detection | Automated Validation | CI/CD | DBT | Data Drift | Data Drift Detection | Database | Drift Detection | Great Expectations | JSON | Referential Integrity | Schema Validation | Snowflake | Test Planning | Test Scenarios | Test automation | Test cases | XML
Education
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