The integration of data from multiple sources: organized, disorganized, structured and/or unstructured, into a centralized data repository. Creating and evolving data models, schemas and repositories to efficiently store and process data, accomplishing this through well designed, implemented and maintained ETL pipelines.
Be responsible for the detailed cataloguing of all data assets within Columbus (from his/her area of responsibility), not only for own use, but also to assist data professionals as they analyze available data.
Data quality and governance will be ensured and enforced by designing...