Cloud Data Engineer — Build Scalable Data Platforms

Our Clients; Taguig; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Our Clients is seeking an experienced Data Engineer to design, build, and maintain scalable data platforms within a Google Cloud environment. Responsibilities include developing ETL/ELT pipelines, optimizing data models, and implementing DataOps practices.

The ideal candidate will have 5-8 years of experience in Data Engineering, with strong proficiency in Google Cloud services, CI/CD processes, and cloud automation tools. This role offers an opportunity to collaborate with cross-functional teams to deliver reliable data solutions.

Qualifications

• Minimum of 5–8 years of experience in Data Engineering or related fields.
• Proven experience delivering data solutions in a Google Cloud environment.
• Understanding of cloud networking and security principles.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines using Google Cloud.
• Optimize data models for large-scale analytics.
• Develop CI/CD processes for data platform deployments.
• Monitor and troubleshoot production data environments.

Skills

ETL/ELT pipelines

Google Cloud Platform

CI/CD processes

DataOps practices

Containerization technologies

Infrastructure as Code

Data architecture

Tools

Terraform

Docker

Kubernetes

Git

Job description

Our Clients is seeking an experienced Data Engineer to design, build, and maintain scalable data platforms within a Google Cloud environment. Responsibilities include developing ETL/ELT pipelines, optimizing data models, and implementing DataOps practices.

The ideal candidate will have 5-8 years of experience in Data Engineering, with strong proficiency in Google Cloud services, CI/CD processes, and cloud automation tools. This role offers an opportunity to collaborate with cross-functional teams to deliver reliable data solutions.