GCP Data Engineer (Contract | Remote)
Location: Remote (India or LATAM preferred)
Contract: 612 months (extension likely)
Start: ASAP
Overview
We are supporting a large, enterprise-scale organization undergoing a significant modernization of its data and analytics platform. As part of this initiative, we are seeking an experienced GCP Data Engineer to help design, build, and scale cloud-native data solutions while collaborating closely with analytics, AI/ML, and business stakeholders.
This role is ideal for someone who is hands-on, comfortable owning infrastructure and pipelines end-to-end, and able to communicate clearly in a global, distributed environment.
Key Responsibilities
- Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP)
- Work across the full GCP ecosystem, including services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Composer
- Develop and manage Infrastructure as Code (IaC) using Terraform (writing from scratch, not just modifying existing modules)
- Partner with analytics, data science, and business teams to support reporting, AI/ML, and GenAI use cases
- Ensure data reliability, performance, security, and cost efficiency
- Contribute to cloud architecture decisions and best practices
- Communicate effectively with technical and non-technical stakeholders across regions
Required Skills & Experience
- Strong hands-on experience as a GCP Data Engineer
- Deep understanding of the GCP data ecosystem
- Proven experience building Terraform IaC from scratch
- Solid programming experience in Python
- Experience supporting AI/ML or GenAI workloads in a data platform environment
- Strong communication skills and ability to work directly with business stakeholders
- Experience working in large, enterprise or complex data environments
Nice to Have
- Exposure to MLOps or ML platform support
- Experience with CI/CD pipelines in cloud environments
- Prior experience working with globally distributed teams
- Background in supply chain, manufacturing, or enterprise data platforms
Why Apply
- Long-term contract with extension potential
- Enterprise-scale data platform and modern cloud stack
- Opportunity to support AI/ML and GenAI initiatives
- Fully remote role with flexible working environment
