Gather requirements, review vendor specifications, discover data sources, and obtain necessary access to achieve accurate data representation.
Translate clinical questions into data requirements and generate actionable business and clinical insight.
Work independently on user stories and own and work on stories through each of the scrum stage gates effectively.
Use automated tools to extract data from primary and secondary sources.
Perform analysis to assess the quality and meaning of data.
Identify and remediate corrupted data
Identify, analyze, and interpret patterns and trends in complex data sets
Write complex and efficient SQL scripts
Using statistical tools - identify, analyze, and interpret patterns and trends in complex data sets
Understand multiple database/data warehouse structures, while understanding how various views/tables/schemas are related
Work across multiple systems and devices (Virtual Machines, Virtual Environments)
Work with structured and unstructured time-series healthcare data acquired from disparate sources
Develop a thorough understanding of the Data Engineering Design, Development, and Delivery processes.
Follow integration policies and procedures and execute solutions accordingly.
Deliver change requests and enhancements for integration solutions that follow Data Engineering best practices and leverage test-driven development and the SDLC.
Manage tasks and timelines related to assigned work. Escalate Risks and delays timely and effectively to the team Lead.