Data Quality Engineer (Databricks)

Responsibilities

• Develop Delta Lake metric aggregation structures supporting enterprise quality reporting.
• Calculate and publish Data Quality Index (DQI) scores, dimension‑level quality metrics, rule pass/fail rates, dataset compliance scores, and SLA adherence indicators.
• Provide curated outputs to support Power BI quality dashboards and executive reporting.
• Configure automated quality monitoring and alerting mechanisms.
• Implement threshold‑based notifications using Databricks SQL Alerts and Azure Monitor integrations.
• Develop predictive risk scoring models to identify datasets at risk of future quality degradation.
• Support proactive quality management and operational intervention activities.
• Apply Databricks machine learning and pattern analysis techniques to profiling and rule execution outputs.
• Support AI‑assisted root cause analysis across established remediation categories.
• Identi...

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