At Ford Motor Credit Company, we are modernizing enterprise Core Platforms and integrating new lending platform to Google Cloud Data Platform (Data Factory), to improve Data, Analytics and AI/ML capabilities, and enhance customer experience, regulatory compliance & operational efficiencies, enabled by Google Cloud. 

This role is for a GCP Data Engineer who can integrate core data from New North America Lending platforms into Data Factory (GCP BQ), and build upon the existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms. You will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to enable platforms and analytics in the GCP. You will be responsible for deep-dive analysis of Current State Receivables and Originations data in Datawarehouse, as well as impact analysis related to Ford Credit North America modernization and providing solutions for implementation. You will be responsible for designing the transformation and modernization on GCP, as well as landing data from source applications, integrating it into subject areas, and building data marts & products in GCP. 

Experience with large-scale solutions and operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments is a must. We are looking for candidates with a broad set of analytical and technology skills across these areas and who can demonstrate an ability to design the right solutions with the appropriate combination of GCP and 3rd party technologies for deploying on the Google Cloud Platform.