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Role responsibilities: ? Design data model and build the data foundation by implementing data pipelines in data lake/warehouse, in collaboration with product owners/BSA, data analysts, and business partners ? Contribute to overall architecture, frameworks and patterns for processing large data scale of data ? Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns ? Profile and analyze data for the purpose of designing scalable solutions ? Define and apply appropriate data acquisition and consumption strategies for given technical scenarios ? Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem ? Implement complex automated routines using workflow orchestration tools ? Work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to ? Anticipate, identify and solve issues concerning data management to improve data quality ? Build and incorporate automated unit tests and participate in integration testing efforts ? Utilize and advance continuous integration and deployment frameworks ? Troubleshoot data issues and perform root cause analysis ? Work across teams to resolve operational