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Ensure the accuracy, consistency, and integrity of large-scale datasets
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Analyze data to identify anomalies, trends, and quality issues, and propose solutions
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Support the implementation and maintenance of data quality checks and validation processes
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Monitor and troubleshoot data pipelines to ensure reliable data flow and availability
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Collaborate with cross-functional teams (engineering, product, operations) to address data-related challenges
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Develop and maintain dashboards and reports to track data quality and key metrics
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Contribute to automation efforts that improve efficiency and reduce manual data handling
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Document data processes, definitions, and quality standards