Junior Engineer Ford - Hiring 2026
Explore the latest Ford jobs 2026 and find exciting career opportunities. Ford is currently hiring for Experienced professionals. This vacancy is entitled as a Chennai jobs, offcampus jobs in Ford, and also explore all other Junior Engineer Ford - Hiring 2026 listings. Don't miss this chance to kickstart your career with Ford today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.
About Ford
Junior Engineer Ford - Hiring 2026
Ford is a family company, one that spans the globe and has shared ideals. We value service to each other and the world as much as to our customers. Generations have made their memories with us and included us in their hopes and dreams.
After 121 years we are used to adapting to and leading change. That is why we are evolving to focus on services, experiences and software as well as vehicles.
Our purpose, We are here for one purpose, to help build a better world, where every person is free to move and pursue their dreams.
Job Details
| Company | Ford |
|---|---|
| Position | Junior Engineer |
| Location | Chennai |
| Job Type | Full Time |
| Experience | Experienced |
| Website | https://www.ford.com/ |
Qualifications
- Professional GCP - Data Engineer Certification.
- 2 + years coding skills in Java/Python and Terraform.
- 2+ years’ experience
- Experience in working with Agile and Lean methodologies.
- GCP Expertise: Strong proficiency in GCP services, including BigQuery, Dataflow, Dataproc, Data Fusion, Air Flow, Pub/Sub, Cloud Storage, Vertex AI, Cloud Functions, and Cloud Composer, GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table
- Programming & Scripting: Expert-level skills in Python and SQL are essential. Familiarity with languages like Scala or Java can also be beneficial, especially for working with tools like Apache Spark.
- Data Engineering Fundamentals: Solid understanding of data modeling, data warehousing concepts, ETL/ELT processes, and big data architecture, Designing pipelines and architectures for data processing.
- Big Data Technologies: Experience with technologies like Apache Spark, Apache Beam, and Kafka is often required.
Responsibilities
- Design and build GCP data driven solutions for enterprise data warehouse and data lakes
- Design and implement scalable data architectures on GCP, including data lakes, warehouses, and real-time processing systems.
- Utilize ML Services like Vertex AI.
- Develop and optimize ETL/ELT pipelines using tools like Python, SQL, and streaming technologies (e.g., Kafka, Apache Airflow).
- Architect Historical and Incremental Loads and Refine Architecture on an ongoing basis
- Manage and optimize data storage, partitioning, and clustering strategies for high performance and reliability, utilizing services such as BigQuery, Spark, Pub/Sub, and Object Storage.
- Collaborate with data scientists, Data engineers, and other stakeholders to understand data needs and deliver solutions aligned with business objectives, security, and data governance.
- Automate infrastructure and deployments using Infrastructure as Code (IaC) using tools like Terraform and CI/CD practices (e.g., Tekton) to ensure reliability and scalability.
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