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