We are seeking a skilled and experienced GCP Data Engineer to be part of Material Logistics IT team.
This individual will design, develop, and maintain our data pipelines and data warehousing solutions on Google Cloud Platform for Ford's ambitious command center and logistics service layer Initiatives.
You will be responsible for ensuring the effective and reliable processing and storage of large datasets and architecting, building, and maintaining our cloud infrastructure and ensuring its high availability and scalability.
Qualifications:
- Bachelor s degree in computer science or a related field.
- 8+ years of experience in software development, with at least 5 years on Google cloud technologies.
- Expertise in Data ingestion and storage, Data Transformation and processing, Data analysis and visualization, Performance optimization and cost management, and a deep understanding, designing, data modeling, data integration, data warehousing and managing large-scale data storage system with below services: Big Query, Cloud Run, Cloud Function, Cloud Dataflow, Cloud Pub/Sub,



Cloud Storage and Data Studio, Dataflow, Dataproc, Cloud Build etc.,
- Strong experience with infrastructure-as-code (IaC) tools like Terraform or Cloud Deployment Manager and Expertise in Tekton pipeline.
- Deep understanding of GCP services, including Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, and Cloud Networking.
- Extensive experience with DevOps practices and tools.
- Expertise in Data encryption, Identity and Access Management and Cloud Security.

Key Responsibilities:
- Work effectively with fellow software engineers, product owners and other technical experts to deliver curated data products.
- Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solution.
- Design, develop, and deploy data pipelines using Dataflow, Dataproc, and other relevant GCP services.
- Build and maintain data warehouses using BigQuery.
- Impl

📌 Google Cloud Platform Data Engineer (Chennai)
🏢 Ford
📍 Chennai