• Design and implement scalable data pipelines and ETL processes
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• Build and maintain data warehouses and data lakes
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• Develop analytics dashboards and visualization tools
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• Collaborate with data scientists to operationalize ML models
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• Optimize query performance and data processing efficiency
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• Implement data quality monitoring and validation frameworks
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• Document data architecture and maintain technical specifications
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• Work with stakeholders to understand data requirements
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• Ensure data security and compliance with regulations
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• Mentor junior team members and contribute to best practices

Requirements