Ford - Dearborn, MI
posted 3 months ago
We are looking for a Python Cloud Application Development Engineer for GCP. The job involves understanding the analytic needs of the Advanced Driver Assist Systems (ADAS) team and developing custom Cloud-based Python Big Data Applications. The engineer will create geo-analysis products using the rich Python ecosystem based on data collected from Connected Vehicles. The engineer will analyze diagnostics trouble codes (DTC's) and diagnostics identifiers (DIDs) associated with regulatory feature function and performance (e.g., rear view camera and other applicable ADAS features). In this role, you will work closely with the Advanced Driver Assist System (ADAS) engineering team to understand their data analytics needs. You will develop custom Python Web Applications using CloudRun (e.g., Dash, Streamlit, PySpark, and Flask) to process the very large datasets flowing from connected vehicles on the Google Cloud Platform (GCP) into Big Query (BQ) or Google Cloud Storage (GCS) and present tools to Driver Assistance Engineers. Additionally, you will develop automated data processing pipelines using Terraform, Docker, Tekton, GitHub, and Kubernetes (Openshift). You will also build and monitor dashboards based on the data in tools such as Looker, LookerStudio, Apache Superset, and Qliksense, collaborating with ADAS feature, systems, and diagnostics teams.