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.