Data Engineer

Ford Motor Company

GCP Data Engineer building cloud analytics platforms for Ford Credit Services. Collaborates in small agile teams to deliver exceptional Analytics data products.

Posted 7/20/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Google Cloud Platform (GCP) technologies, with a strong focus on developing analytics data products and designing data processing pipelines. Proven ability to collaborate effectively within agile teams and advocate for technical excellence.

Highest-signal resume keywords

Google Cloud Platform (GCP)SQL DevelopmentAnalytics Application DevelopmentData EngineeringMicroservice Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonApache BeamData ProcessingETL (Extract, Transform, Load)Data Pipeline DesignBig QueryBig TableTerraformCloud Build

Soft Skills

CollaborationTechnical LeadershipAdvocacy for Technical Excellence

Tools & Technologies

Google Cloud StoragePubSubData FusionDataflowDataprocAirflowCloud ComposerTekton

Industry Keywords

AgileBig DataStreamingBatch IngestionProduction Scale Solutions

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