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Salary
≈ $16k – $38k per year (Estimated)
Location
In office (Chennai)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 12, 2026. Ford Motor Company scores A on the Alion truth index.

Overview
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Impact
Profile match
Ford is an American automaker founded in Dearborn in 1903 by Henry Ford, who introduced the moving assembly line and turned the car into a mass-market product. It is now organised into three businesses reported separately: Ford Blue for internal combustion vehicles, Model e for electric vehicles and software, and Ford Pro for commercial customers, which bundles vans and trucks with telematics, servicing and charging under multi-year contracts. Listed on the New York Stock Exchange and still partly controlled by the founding family through a special class of shares, its F-Series pickup has been the best selling vehicle in the United States for decades.

Work on a Portfolio Engineering Team based in Chennai to play a pivotal role in the development and maintenance of our Enterprise Data Platform and perform end to end Full stack Data engineer role.

Work effectively with fellow data engineers, product owners, data champions and other technical experts.

Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.

Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.

Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies.

4+ years of SQL development and analytics/data product development experience.

2+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale.

Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud Build, etc.

Experience working with Airflow for scheduling and orchestration of data pipelines.

Experience working with Terraform to provision Infrastructure as Code.

2 + years professional development experience in Pyspark and Python.

Bachelor’s degree in computer science or related scientific field.

Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products.

Experience in working with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption.

Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management.

In-depth understanding of Google’s product technology (or other cloud platform) and underlying architectures especially Gen AI /Ford LLM

Experience with development eco-system such as Tekton, Git, Jenkins for CI/CD pipelines.

Experience in working with Agile and Lean methodologies.

Experience with performance tuning SQL queries.

Experience in creating and executing detailed test plans.

GCP Professional Data Engineer Certified - Nice to have

Bachelor’s degree in computer science or related scientific field.

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