In this role, you'll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. You'll work with GCP Native technologies like Big Query, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance. This is a fantastic chance to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at Ford.

- Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience).
- 5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred).
- Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like Big Query, Dataflow, and Data Proc.




- Solid understanding of Service-Oriented Architecture (SOA) and microservices, and their application within a cloud data platform.
- Experience with relational databases (., PostgreSQL, MySQL), NoSQL databases, and columnar databases (., Big Query).
- Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
- Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
- Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues.
- Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (., Big Query, Dataflow, Cloud Run, Data Proc).
- A passion for data, innovation, and continuous learning.
#LI-SKV

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📌 Full Stack Data Engineer (India)
🏢 Ford Motor
📍 India