| Cloud Engineer - Google Cloud Platform (GCP) :: Boynton Beach, FL or Tampa, FL (Hybrid) at Tampa, Florida, USA |
| Email: [email protected] |
| From: sachin chaudhary, K&K [email protected] Reply to: [email protected] Title: Cloud Engineer - Google Cloud Platform (GCP) Location: Boynton Beach, FL or Tampa, FL (Hybrid) Job Description: TCS is seeking a Cloud Engineer with expertise in Google Cloud Platform (GCP) to join our team in Boynton Beach or Tampa, FL. The ideal candidate will have 3-5+ years of experience managing and securing Compute Engine at an organizational level, implementing security best practices on GCP, and designing and managing data pipelines using GCP services. Responsibilities: Manage and secure Compute Engine at an organizational level, implementing security best practices on GCP, including identity and access management (IAM), encryption, and threat detection. Design and manage data pipelines on GCP using services such as BigQuery, Cloud Dataflow, GKE (Google Kubernetes Engine), and Cloud Pub/Sub. Develop expertise in data modeling, data cleansing, and data transformation to support analytics solutions. Develop and implement data analytics solutions using machine learning, artificial intelligence, and business intelligence tools. Utilize automation tools like Terraform, Ansible, and Jenkins for infrastructure provisioning and configuration management. Analyze and optimize cloud costs using tools like Cloud Billing and Cloud Cost Management. Collaborate with cross-functional teams to design, implement, and maintain scalable and reliable cloud solutions. Stay up-to-date with the latest GCP offerings and best practices, and provide recommendations for continuous improvement. Requirements: 3-5+ years of experience managing and securing Compute Engine at an organizational level on GCP. Experience in implementing security best practices on GCP, including IAM, encryption, and threat detection. Proficiency in designing and managing data pipelines on GCP using services such as BigQuery, Cloud Dataflow, GKE, and Cloud Pub/Sub. Expertise in data modeling, data cleansing, and data transformation. Ability to develop and implement data analytics solutions using machine learning, artificial intelligence, and business intelligence tools. Proficiency in using automation tools like Terraform, Ansible, and Jenkins for infrastructure provisioning and configuration management. Experience in analyzing and optimizing cloud costs using tools like Cloud Billing and Cloud Cost Management. Proficiency in Python programming language. Certification as a Google Cloud Engineer and Google Cloud Professional Security Engineer is preferred. Keywords: Florida |
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| Fri Mar 22 19:50:00 UTC 2024 |