Description

Key Skills: GCP, SQL, Python

Roles and Responsibilities:

• Build and maintain data engineering solutions on Google Cloud Platform using services such as BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, and Compute Engine.
• Develop infrastructure as code for cloud resources using Terraform, Deployment Manager, and Ansible.
• Support Kubernetes-based workloads and manage container orchestration on Google Kubernetes Engine.
• Automate data platform workflows and operational tasks using Python and CI/CD pipelines.
• Implement monitoring and logging for cloud workloads using Cloud Operations Suite, Prometheus, and Grafana.

Skills Required:

• 3 to 12 years of relevant experience in data engineering or cloud platform engineering.
• Hands-on experience with Google Cloud Platform and core GCP services.
• Strong understanding of cloud data platform architecture, Kubernetes, and infrastructure as code.
• Experience building scalable data solutions and managing cloud-based integrations.
• Practical experience with Python, SQL, and CI/CD automation in a production environment.

Good to Have:

• Experience with Looker or Tableau.
• Exposure to GKE, Cloud Monitoring, Prometheus, Grafana, or GCP architecture certifications.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Key Skills

Education

Any Graduate