Ford Motor Company

Data Engineer

Ford Motor Company  •  Chennai, IN (Onsite)  •  3 hours ago
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Job Description

We are looking for someone with advanced Python programming skills who applies robust software engineering principles to data problems. You will collaborate closely with Data Scientists, ML Engineers, and Product Managers to build the scalable, automated pipelines required to train, deploy, and monitor machine learning models in production.

Key Responsibilities

  • GCP Pipeline Development: Design, build, and maintain highly scalable ETL/ELT data pipelines using Python and GCP-native data processing tools (e.g., Cloud Run, Cloud Functions).
  • AI/ML Infrastructure Support: Engineer feature stores, robust data feeds specifically optimized for machine learning training and inference. Work closely with ML Engineers to operationalize models using Vertex AI.
  • Data Integration & Ingestion: Write clean, modular Python code to ingest data from diverse sources (APIs, streaming platforms, on-prem databases) into BigQuery and Google Cloud Storage (GCS).
  • System Optimization: Optimize BigQuery architecture, partition/cluster tables, and tune complex SQL queries to ensure performance and cost-efficiency at a massive scale.
  • Software Engineering Best Practices: Champion best practices in Python development, including version control (Git), CI/CD pipelines (Cloud Build / GitHub Actions), code reviews, and comprehensive unit/integration testing.
  • Data Quality & Governance: Implement robust data quality checks, alerting, and monitoring to ensure the data feeding our AI models is accurate and reliable.

Required Qualifications

  • Degree: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
  • Experience: 4 to 6 years of professional experience in Data Engineering, Software Engineering, or a closely related field.
  • Advanced Python: Deep expertise in Python programming. You should be highly comfortable with:
  • Data processing and ML-adjacent libraries (e.g., PySpark, Pandas, NumPy).
  • API development
  • Writing efficient and production-grade code.
  • GCP Mastery: Proven, hands-on experience designing and operating data architectures on Google Cloud Platform. Must have strong experience with:
  • BigQuery (advanced SQL, architecture, and optimization).
  • Google Cloud Storage (GCS).
  • Compute/Serverless (Cloud Functions, Cloud Run).
  • AI/ML Acumen: Experience working alongside Data Science teams. A strong understanding of the ML lifecycle, feature engineering, and the data requirements for model training and deployment.
  • MLOps: Understanding of MLOps principles, model registry, and continuous training pipelines.

Preferred Qualifications

  • Vertex AI: Direct experience interacting with or deploying pipelines using Google Cloud's Vertex AI platform.
  • Streaming Technologies: Familiarity with real-time data processing using Google Cloud Pub/Sub and streaming Dataflow jobs.
  • Infrastructure as Code: Experience managing GCP resources using Terraform.
  • Containerization: Proficiency with Docker.
Ford Motor Company

About Ford Motor Company

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us.

Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.

Privacy Policy: https://www.ford.com/help/privacy/

Industry
Automotive & Mobility
Company Size
10,000+ employees
Headquarters
Dearborn, Michigan
Year Founded
Unknown
Website
ford.com
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