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Ford Motor Company

Data Engineer

Ford Motor Company

GCP Data Engineer developing cloud analytics solutions for Ford's Credit Services. Responsible for data transformation and modernization on Google Cloud Platform.

Posted 6/8/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudGoogle Cloud PlatformJavaPythonSQLTerraform

About the role

Key responsibilities & impact
  • Work in collaborative environment including pairing and mobbing with other cross-functional engineers
  • Work on a small agile team to deliver working, tested software
  • Work effectively with fellow data engineers, product owners, data champions and other technical experts
  • Demonstrate technical knowledge/leadership skills and advocate for technical excellence
  • Develop exceptional Analytics data products using streaming, batch ingestion patterns in the Google Cloud Platform with solid Datawarehouse principles
  • Be the Subject Matter Expert in Data Engineering and GCP tool technologies

Requirements

What you’ll need
  • In-depth understanding of Google’s product technology (or other cloud platform) and underlying architectures
  • 5+ years of analytics application development experience required
  • 5+ years of SQL development experience
  • 3+ years of Cloud experience (GCP preferred) with solution designed and implemented at production scale
  • Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
  • 2 + years professional development experience in Java or Python, and Apache Beam
  • Experience developing with micro service architecture from container orchestration framework
  • Extracting, Loading, Transforming, cleaning, and validating data
  • Designing pipelines and architectures for data processing
  • 1+ year of designing and building Tekton pipelines

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
  • Bonuses

ATS Keywords

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Hard Skills & Tools
SQLJavaPythonApache BeamData EngineeringData ProcessingETLMicroservicesCloud ArchitecturePipeline Design
Soft Skills
collaborationtechnical leadershipadvocacy for technical excellenceeffective communicationteamworkproblem-solvingadaptabilitycross-functional collaborationmentorshiporganizational skills