In this position, you will review and analyze the existing and new Data Analytics warehouse environments and other external sources in order to design and architect a system communicating this information to Data Analytics Bureau staff.
In this position, you will develop, test and implement program logic for ETL development. Optimize ETL data load jobs to improve performance and automate them and identify and create solutions to improve system performance and availability.
In this role, the selected candidate must have an experience developing and maintaining a data interchange system interfacing with a wide array of varying data sets including flat file and xml transactions.
In this role, the selected candidate will be responsible for conducting the ETL data load and analysis for Medicare Stars Data Engine projects that are used to identify our strengths and pinpoint areas for improvement, and to drive processes that support programs critical to Aetna's Stars success.