About this role
This is an exciting and fast-paced role, which requires exceptional technical data and Data Engineering skills with the opportunity to create huge impact to Ford Pro Commercial business.
Pro 360 Data Analytics & AI Portfolio: Leads design and product teams which create the operational core data capability for Ford Pro Tech. Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the environment, third-party data evaluations, data quality, creating intelligence layers for ease of use.
Qualifications for Internal Candidates
Minimum Qualifications
- Bachelor’s degree in computer science or engineering
- 8+ years of software engineering experience
- 3+ years of experience with GCP, Cloud Run, Spring Boot, and Java
- Experience working with Agile methodologies such as Scrum and eXtreme Programming as an Anchor
- Experience in launching large scale global API’s on cloud technologies such as Azure and GCP
- Agile software engineering practices - TDD, CI/CD, Refactoring, Clean Code, Pairing/Mobbing
- Developing and publishing APIs with Swagger docs in Apigee and APIM.
- Experience with using DevOps tools like Jenkins, SonarQube, CheckMarx and GitHub
Preferred Skills:
- Experience working with Python, Google Cloud Platform (or comparable), and related cloud native tools like Cloud Run, GKE, PubSub, Cloud Functions/Schedulers, APIGEE, GCP Logging, Terraform scripts, etc. and deployment pipelines like Cloud Build and Tekton
- Inquisitive, proactive, and interested in learning new tools and techniques.
- Strong oral, written and interpersonal communication skills
- Comfortable working in a dynamic environment where problems are not always well-defined