Job Description

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

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