Data Engineer

• Design and implementation of a Databricks-native Data Quality Monitoring framework
• Configuration and implementation of DQX-based data quality rules
• Development of data pipelines and data models supporting monitoring and reporting
• Creation of dashboards and trending views for business users and data owners
• Linking data quality rules, data usage, and critical data points
• Documentation of technical design, rule logic, and operating model
• Supporting the scaling of the solution to additional data domains over time
• Working closely with data owners, business users, and technical stakeholders

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Senior Data Engineer / Databricks Developer