Data Validation: Validate the accuracy, completeness, and consistency of output through data pipeline, ensuring it meets business requirements and quality standards.
Automation: Develop and maintain automation test cases using Python and/or Java to streamline data validation processes.
Collaboration: Work closely with data engineers, supporters, and other team to identify and resolve data-related issues.
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