Data Scientist – Role Description & Requirements
Our data engineers support data collection, ingestion, validation, and loading of optimized data in the appropriate data stores. They work on a team made up of analyst(s), developer(s), data scientist(s), and product leads, and everyone on the team collaborates in support of a specific CCMD. Working directly with the analyst(s) and the product lead, the data engineer identifies and implements solutions for the data requirements, including building pipelines to collect data from disparate, external sources, implementing rules to validate that expected data is received, cleansed, transformed, massaged and in an optimized output format for the data store. The data engineer performs validation and analytics in support of the ODT CCMD requirements and evolves solutions through automation, optimizing performance with minimal human involvement. As pipelines are executed, the data engineer monitors their status, and performance, and troubleshoots issues while working on improvements to ensure the solution is the very best version to address the customer's need.
As a Data Engineer, this role focuses specifically on the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. The best athlete candidate for this position will be able to apply advanced consulting skills, extensive technical expertise and has full industry knowledge to develop innovative solutions to complex problems. This candidate is able to work without considerable direction and may mentor or supervise other team members.
This position will require up to 25% travel at the CCMD location.
What we’re looking for:
Basic Qualifications:
Additional Qualifications:
Preferred experience at the respective command with an understanding of analytical and data paint points and challenges across the J-Codes