Senior GCP Data Engineer at Abacus Consulting
Lahore, Punjab, Pakistan -
Full Time


Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

GCP, Terraform, Packer, BigQuery, Dataflow, Cloud Composer, Kubernetes, Python, Bash, Go, CI/CD, Git, IAM, Cloud Networking, Cloud Storage, PubSub

Industry

IT Services and IT Consulting

Description
We are looking for a highly skilled Senior GCP Data Engineer with expertise in Terraform Or Packer to design, develop, and optimize cloud-based data solutions. The ideal candidate will have hands-on experience managing infrastructure as code (IaC), automating deployments, and implementing scalable data solutions on Google Cloud Platform (GCP). Key Responsibilities Design, deploy, and maintain scalable data infrastructure on GCP using Terraform Or Packer. Build and optimize ETLELT pipelines using GCP services like BigQuery, Dataflow, and Cloud Composer. Automate infrastructure provisioning, deployments, and updates using Terraform, Packer, and CICD tools. Implement best practices for cloud security, access management, and compliance requirements. Ensure system reliability and efficiency through proactive monitoring and troubleshooting. Work closely with Data Engineers, DevOps, and cross-functional teams to optimize cloud and data solutions. Required Skills & Experience 5+ years of experience in GCP cloud architecture, data engineering, and automation. Expertise in Terraform Or Packer for infrastructure automation and image management. Hands-on experience with BigQuery, Dataflow, Cloud Storage, PubSub, and Kubernetes (GKE). Strong scripting skills in Python, Bash, or Go for automation. Experience with CICD pipelines, Git, and Terraform modules. Knowledge of IAM policies, security best practices, and cloud networking. Good to Have Google Cloud Certifications (Professional Data Engineer or Cloud Architect). Experience with additional IaC tools like Ansible or Pulumi. Background in Machine Learning pipelines (TensorFlow, Vertex AI) is a plus.
Responsibilities
Design, deploy, and maintain scalable data infrastructure and ETL/ELT pipelines on Google Cloud Platform. Automate infrastructure provisioning and deployments using IaC tools while ensuring cloud security and system reliability.
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