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
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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