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Open nowFirst seen 2 days ago

Senior GCP Data Engineer

Abacus Consulting165 open roles

Where
Lahore, Pakistan
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Your applicationOpen nowSenior GCP Data EngineerAbacus Consulting · Lahore, Pakistan
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

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.
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