Data Quality Engineer
We are seeking a Data Quality Engineer to ensure the reliability, accuracy, and trustworthiness of data products. This role focuses on building automated quality frameworks and driving continuous improvement in data quality.
Responsibilities
- Define and implement data quality rules (completeness, consistency, accuracy, timeliness)
- Build automated validation checks, monitoring systems, and alerting mechanisms.
- Develop dashboards and scorecards to track data quality metrics.
- Partner with teams to define SLAs and resolve data issues.
- Conduct root-cause analysis and implement preventive measures
- Integrate data quality checks into CI/CD pipelines.
- Manage data quality issue tracking and remediation workflows.
Required Experience
- 4–8+ years in data quality engineering or related roles.
- Experience building automated data quality frameworks.
- Familiarity with modern data testing and observability tools.
- Strong understanding of data pipelines and validation techniques.