GCP Data Architect

Role Overview: You will be responsible for designing and implementing cloud-native and hybrid solutions using GCP services such as Compute Engine, Kubernetes (GKE), Cloud Functions, BigQuery, Pub/Sub, Cloud SQL, and Cloud Storage. Additionally, you will define cloud adoption strategies, migration plans, and best practices for performance, security, and scalability. You will also be involved in implementing and managing Infrastructure as Code (IaC) tools such as Terraform, Cloud Deployment Manager, or Ansible for automated infrastructure provisioning. As a GCP data architect with network domain skills, you will work with technologies like DataProc, Cloud Composer, Data Flow, and BigQuery. Hands-on experience in Network domain (4G, 5G, LTE, and RAN) is preferred, along with expertise in ETL architecture and data pipeline. Key Responsibilities: - Design and implement cloud-native and hybrid solutions using GCP services - Define cloud adoption strategies, migration plans, and best practices - Implement and manage Infrastructure as Code (IaC) tools - Work with GCP data services and network domain technologies - Hands-on experience in 4G, 5G, LTE, and RAN - Develop ETL architecture and data pipeline Qualifications Required: - Proficiency in GCP services such as Compute Engine, Kubernetes, BigQuery, and more - Experience with Infrastructure as Code tools like Terraform, Cloud Deployment Manager, or Ansible - Knowledge of DataProc, Cloud Composer, Data Flow, and BigQuery - Hands-on experience in 4G, 5G, LTE, and RAN technologies - Strong understanding of ETL architecture and data pipeline development (Note: No additional details about the company were provided in the job description) Role Overview: You will be responsible for designing and implementing cloud-native and hybrid solutions using GCP services such as Compute Engine, Kubernetes (GKE), Cloud Functions, BigQuery, Pub/Sub, Cloud SQL, and Cloud Storage. Additionally, you will define cloud adoption strategies, migration plans, and best practices for performance, security, and scalability. You will also be involved in implementing and managing Infrastructure as Code (IaC) tools such as Terraform, Cloud Deployment Manager, or Ansible for automated infrastructure provisioning. As a GCP data architect with network domain skills, you will work with technologies like DataProc, Cloud Composer, Data Flow, and BigQuery. Hands-on experience in Network domain (4G, 5G, LTE, and RAN) is preferred, along with expertise in ETL architecture and data pipeline. Key Responsibilities: - Design and implement cloud-native and hybrid solutions using GCP services - Define cloud adoption strategies, migration plans, and best practices - Implement and manage Infrastructure as Code (IaC) tools - Work with GCP data services and network domain technologies - Hands-on experience in 4G, 5G, LTE, and RAN - Develop ETL architecture and data pipeline Qualifications Required: - Proficiency in GCP services such as Compute Engine, Kubernetes, BigQuery, and more - Experience with Infrastructure as Code tools like Terraform, Cloud Deployment Manager, or Ansible - Knowledge of DataProc, Cloud Composer, Data Flow, and BigQuery - Hands-on experience in 4G, 5G, LTE, and RAN technologies - Strong understanding of ETL architecture and data pipeline development (Note: No additional details about the company were provided in the job description)