Gradera is hiring a Data Quality Engineer

Responsibilities

• Design and deploy data quality frameworks using Delta Live Tables expectations and Great Expectations
• Construct automated data validation workflows to enforce standards during data ingestion and transformation
• Develop processes for profiling data to uncover distributions, patterns, and irregularities
• Define and monitor key data quality indicators including completeness, accuracy, consistency, timeliness, and validity
• Set up anomaly detection systems to catch data drift and declining data quality
• Build dashboards and alerting tools to detect issues proactively
• Work with data engineers to integrate quality checks into ETL and ELT pipelines
• Collaborate with data architects to define data quality standards and governance policies
• Conduct investigations and root cause analyses for data quality incidents
• Document data quality rules, acceptable thresholds, and corrective actions
• Support certification of datasets intended for simulation and machine learning workflows
• Lead initiatives to improve data quality methodologies and tooling over time