Data Engineer at Ford Motor Company

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

Salary

0.0

Posted On

09 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Cloud Platform, BigQuery, Dataflow, Python, Java, SQL, Apache Beam, Data Mesh, MLOps, Generative AI, Terraform, CI/CD, Dimensional Modeling, Apache Kafka, DBT, Vertex AI

Industry

Motor Vehicle Manufacturing

Description

We’re seeking an experienced GCP Data Engineer who can build cloud analytics platforms to meet ever-expanding business requirements with speed and quality using lean Agile practices. You will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP). You will be responsible for designing the transformation and modernization on GCP, as well as landing data from source applications to GCP. Experience with large-scale solutioning and operationalization of data warehouses, data lakes, and decentralized data architecture (such as Data Mesh) on GCP is a must. You will also play a key role in designing and building the foundational data infrastructure required to power advanced AI, Machine Learning (ML), and Generative AI initiatives across the enterprise. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design the right solutions with the appropriate combination of GCP and third-party technologies. You will: * Implement and champion Data Mesh principles, treating data as a product, establishing clear data contracts, and enabling self-serve data platform capabilities across business domains. * Design, build, and maintain high-performance analytical data models using robust dimensional modeling principles (Star Schema, Snowflake Schema) to support enterprise BI, analytics and AI/ML models. * Develop exceptional Analytics data products using streaming and batch ingestion patterns in GCP. * Collaborate with Data Science and AI teams to architect robust MLOps pipelines and integrate Generative AI capabilities (e.g., LLMs, Vector Search) into data workflows. * Be the Subject Matter Expert in Data Engineering, AI integrations, and GCP services. * Demonstrate technical knowledge/leadership skills and advocate for technical excellence. * Work in a collaborative environment including pairing and mobbing with other cross-functional engineers. * Work on agile teams to build modern data warehouses and deliver data products. * Work effectively with data engineers, product owners, data stewards, and other technical experts.

Responsibilities

Design and build cloud analytics platforms and data infrastructure on GCP to support enterprise BI and AI/ML initiatives. Implement Data Mesh principles and develop high-performance analytical data models using streaming and batch ingestion patterns.