GCP Data Engineer

GCP Data Engineer (Contract | Remote)

Location: Remote (India or LATAM preferred)

Contract: 6–12 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