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GCP Data Engineer
2 months ago
client HCL
This is an onsite ( hybrid) role- 3 days onsite
Candidate will be required to attend an In person Interview ( Irving, TX)
1.GCP services administration
2.GKE administration
3.Extensive knowledge in Python to automate issues.
4.hands on experience in CI/CD
5.Knowledge in Tera form module
Position: GCP Data Engineer
Location: Irving, TX; only local
skills: GCP + Python Engineering
.
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 DevOps 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.
·He/she should be knowledgeable about potential vulnerabilities of virtual machines and container deployment systems.
·Experience implementing and supporting IAM tools and processes
·Write BigQuery SQL complex queries
·Google Kubernetes Experience (GKE) to configure, deploy, maintain and support web applications, 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, API endpoints,
·and other Kubernetes control plane components.
·Create test plans, deployment automation, dashboards, alerts, and insights into our product’s operations as well as
·participate in the Kubernetes Core Interfaces.
and version control
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