Duties: Collaborate within an agile, multi-disciplinary team to develop optimal data integration and transformation solutions. Document and analyze data requirements (functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives. Profile data to assess the accuracy and completeness of data sources and work with business partners to mitigate issues. Build and maintain data pipelines using appropriate tools and practices in development, test, and production environments. Design with modularity to leverage the reuse of code wherever possible. Create data mappings, programs, routines, and SQL to acquire data from legacy, web, cloud, and purchased package environments into the analytics environment. Use a mix of ELT, ETL, data virtualization, and other methods to optimize the balance of minimal data movement against performance. Maintain metadata management processes and documentation. Monitor data quality to detect emerging issues and consult with the team to create transformation rules to cleanse against defined rules and standards. 100% telecommuting permitted within the U.S. 40 hours/week, $141,755 - $154,350 per year.
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