ADAS Analytics Engineer

1 week ago

Dearborn, Michigan, United States Ford Motor Company Full time
Job Title: ADAS Analytics Engineer

We are seeking a highly skilled ADAS Analytics Engineer to join our team at Ford Motor Company. As an ADAS Analytics Engineer, you will be responsible for developing custom Cloud-based Python Big Data Applications to support the Advanced Driver Assist Systems (ADAS) team.

Key Responsibilities:
  • Work with the ADAS engineering team to understand their data analytics needs and develop custom Python Web Applications using CloudRun (e.g., Dash, Streamlit, PySpark, and Flask) to process large datasets flowing from connected vehicles on the Google Cloud Platform (GCP) into Big Query (BQ) or Google Cloud Storage (GCS).
  • Develop automated data processing pipelines using Terraform, Docker, Tekton, GitHub, Kubernetes (Openshift), and build and monitor dashboards based on the data in tools such as Looker, LookerStudio, Apache Superset, and Qliksense.
  • Collaborate with ADAS feature, systems, and diagnostics teams to ensure seamless integration and data exchange.
Requirements:
  • BS Degree in Engineering, Physics, Computer Science, Data Science, or Control Systems.
  • Familiarity with ADAS feature functional interfaces, diagnostics, and regulatory requirements.
  • Strong expertise in creating web applications using Python frameworks such as Dash, Flask, Streamlit, PySpark, and Python High Performance visualization packages like DataShader.
  • Strong expertise in Cloud Platforms such as GCP (Preferred), Azure, AWS, and Databricks.
  • Experience in writing SQL Queries to process Cloud native Big Data and experience in CI/CD pipelines and tools like GitHub, Docker, Jenkins, Tekton, and Terraform.
  • GCP (Preferred), AWS, or Azure certified.
Preferred Qualifications:
  • Ideal experience in JavaScript for high-performance Big Data Geo Visualization like Leaflet.
  • MS Degree in Engineering, Physics, Computer Science, Data Science, or Control Systems.
  • Ideal experience in workflow automation tools such as Astronomer, Airflow, and DBT.
  • Ideal experience with ADAS feature functional interfaces and diagnostics.
  • Experience creating RAG/LLM based tools for natural language queries of large datasets is a plus but not required.
What We Offer:
  • Immediate medical, dental, and prescription drug coverage.
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care, and more.
  • Vehicle discount program for employees and family members, and management leases.
  • Tuition assistance.
  • Established and active employee resource groups.
  • Paid time off for individual and team community service.
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day.
  • Paid time off and the option to purchase additional vacation time.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, or protected veteran status.

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