GCP Data Engineer

GCP Platform EngineerResponsibilities:Develop, deploy, and maintain Google Cloud solutions and services that meet business requirementsDesign and implement secure, scalable, and robust cloud applications utilizing Google Cloud Platform servicesWork closely with other developers, architects, and stakeholders to ensure effective collaboration and communication across all stages of the development cycleDevelop 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 neededImplement data protection and identity access management policies to safeguard cloud resources and dataSet up and manage access to cloud resources using accounts, users, and groupsHe/she should be knowledgeable about potential vulnerabilities of virtual machines and container deployment systemsExperience implementing and supporting IAM tools and processesWrite BigQuery SQL complex queriesGoogle Kubernetes Experience (GKE) to configure, deploy, maintain and support web applications, microservicesDesign and implement solutions to fascinating problems of scale and fault tolerance to simplify the administration and user experience of Kubernetes platformsDevelop Helm charts, Docker images, config maps, custom controllers, resource definitions, gateways, API endpoints, and other Kubernetes control plane componentsCreate test plans, deployment automation, dashboards, alerts, and insights into our product's operations as well as participate in the Kubernetes Core Interfacesand version controlMandatory Skills: GCP + Python Engineering Please share Skills matrix:GCP services administrationGKE administrationExtensive knowledge in Python to automate issues.hands on experience in CI/CDKnowledge in Tera form module