GCP Data Engineer

Job #: 3085
Pay Rate:
Not Specified
Job type: contractor

Location:

Irving, TX

Experience: 8+ years
GCP Platform Engineer
Responsibilities:

• Develop, deploy, and maintain Google Cloud solutions and services that meet business requirements.
• Design and implement secure, scalable, and robust cloud applications utilizing Google Cloud Platform services.
• Work closely with other developers, architects, and stakeholders to ensure effective collaboration and communication across all stages of the development cycle.
• Develop and maintain automated build, test, and deployment pipelines using Dev Ops methodologies (Terraform, Ansible).
• Work with product application teams to continuously optimize their workloads for cost-efficiency and performance, making recommendations for resource adjustments as needed.
• Implement data protection and identity access management policies to safeguard cloud resources and data.
• Set up and manage access to cloud resources using accounts, users, and groups.
• Knowledgeable about potential vulnerabilities of virtual machines and container deployment systems.
• Experience implementing and supporting IAM tools and processes.
• Write complex Big Query SQL queries.
• Google Kubernetes Experience (GKE) to configure, deploy, maintain, and support web applications and microservices.
• Design and implement solutions to fascinating problems of scale and fault tolerance to simplify the administration and user experience of Kubernetes platforms.
• Develop Helm charts, Docker images, config maps, custom controllers, resource definitions, gateways, and API endpoints.
• Create test plans, deployment automation, dashboards, alerts, and insights into our product's operations as well as participate in the Kubernetes Core Interfaces.

Mandatory

Skills:

GCP + Python Engineering

Please share Skills matrix:

• GCP services administration
• GKE administration
• Extensive knowledge in Python to automate issues.
• Hands-on experience in CI/CD
• Knowledge in Terraform module