Work in a collaborative environment that leverages paired programming
Work on a small agile team to deliver curated data products
Work effectively with fellow data engineers, product owners, data champions, and other technical experts
Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions
Develop exceptional analytical data products using both streaming and batch ingestion patterns on the Google Cloud Platform with solid data warehouse principles
Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well-integrated third-party technologies
Requirements & Skills:
Master’s degree in Analytics and Data Science
GCP Data Engineering Certified
5+ years of Data Engineering experience and 2+ years of Ford Credit Data Engineering experience
Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Implement methods for automation of all parts of the pipeline to minimize labor in development and production
Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products
Experience in working with architects to evaluate data pipelines for data ingestion, curation, and consumption
Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management
