Ford Motor Company

Full Stack Data Engineer

Ford Motor Company · Chennai, Tamil Nadu, India

Motor Vehicle Manufacturing · 10,001+ employees

3 h ago Closes today
Principal (10+ yrs) Full-time India
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About the role

You will be responsible for designing, building, and optimizing scalable data pipelines within the Google Cloud Platform environment. Additionally, you will collaborate with teams to establish best practices for data engineering and ensure data governance and security.

What they look for

Data Engineering Google Cloud Platform BigQuery Dataflow Pub/Sub SQL Java Python Service-Oriented Architecture Microservices PostgreSQL MySQL Data Governance CI/CD Terraform Tekton

Requirements

Candidates must have a bachelor's degree and at least 12 years of experience in data or software engineering, including 2 years with cloud-based platforms. Proficiency in SQL, Java, and Python is required, along with experience in GCP services and infrastructure automation tools.

Full description

We are the driving force behind Ford's transformation, building a better world, one innovation at a time. At Ford, we're more than just a company; we're a community of passionate individuals dedicated to revolutionizing the way the world moves. The Global Data Insight & Analytics team is at the heart of this transformation, turning data into actionable insights that drive critical decisions. We're trusted advisors, providing clear visibility into market dynamics, customer needs, and the competitive landscape. If you're passionate about data and eager to make a tangible impact, join us and help shape the future of Ford.

In this role, you'll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. You'll work with GCP Native technologies like BigQuery, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance. This is a fantastic opportunity to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at Ford.