GCP System Architect

2 days ago

Bengaluru, Karnataka, India beBeeCloud Full time ₹ 15,00,000 - ₹ 25,00,000
Cloud Professional

As a Cloud Professional, you will play a key role in administering and developing Google Cloud Platform services. This is a hybrid role that requires both administrative and development skills related to cloud computing.

Responsibilities:

  • Perform administrative tasks such as user access, service accounts creation, and work with Cloud Security for provisioning and troubleshooting.
  • Monitor day-to-day performance of the GCP services and take proactive steps to avoid failure or data pipelines execution or slowness of the jobs.
  • Manage upgrades for GCP services such as Cloud Composer. Work closely with cloud engineering to enable/configure GCP services.
  • Manage Data Security, PII Tagging, Authorizations. Work with Compliance team to support compliance requirements such as SOX and CCPA.
  • Provide technical support to GCP users, troubleshooting issues, and resolving errors.

Development Responsibilities:

  • Lead offshore platform GCP engineers to support the tasks development.
  • Develop CI/CD pipelines for deployment of artifacts.
  • Create dashboards in Looker for Big Query performance monitoring, slots management, user queries.
  • Work with Platform Architects for building new capabilities/frameworks or setting up policies/guidelines for development teams.
  • Perform POC of new GCP services including Big Query new features and implementation.
  • Work with Cloud security for building security frameworks and perform vulnerability assessment to detect/resolve platform security issues.
  • Develop Data Engineering pipelines for Data Ingestion into GCP Platform/Big Query.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Hands-on experience in the administration of GCP services such as Cloud dataflow, Cloud Pub-Sub, Big Query, Cloud Storage, Cloud Functions, Cloud Composer, DataProc etc.
  • Experience/familiarity with ETL process, streaming data, Kafka, API and SQL.
  • Experience in scripting using Python and Windows/Unix commands.
  • Experience with CI/CD, Git/Jenkins workflows and SDLC cycle supporting multiple non-production and production environments.
  • Experience in automation of the deployment of services and configuration updates is a plus.
  • Experience in cluster performance tuning and Big Query optimization is a plus.
  • Google Cloud Certification is preferred.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and business stakeholders.

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