Previous relevant experience as a Cloud Engineer, primarily working with Google Cloud Platform (GCP).
Infrastructure as Code (Ia C): Strong proficiency with Terraform for managing and provisioning cloud resources.
CI/CD Pipelines: Experience in building and maintaining CI/CD pipelines using tools like Git Hub Actions for automated deployment and testing.
Data Processing & Workflow Orchestration:
Experience using Dataproc for distributed data processing.
Knowledge of Cloud Composer/Airflow for workflow orchestration.
Data Storage & Analysis:
Experience with Big Query for data warehousing, analytics, and querying.
Familiarity with GCS (Google Cloud Storage) for object storage.
Access Control & Security:
Strong understanding of IAM (Identity and Access Management), ACLs, and other security best practices.
Experience in setting up fine-grained access controls for secure data handling.
Monitoring & Notifications: Experience with GCP Monitoring & Alerting Tools for infrastructure and application monitoring.
Networking: Understanding of VPC (Virtual Private Cloud), firewall rules, and VPN within GCP.
Scripting & Automation: Proficiency in Python, Shell scripting, or similar languages for automation and tooling.
Version Control & Collaboration: Familiarity with Git and experience in collaborative development workflows.
Machine Learning & AI Services: awareness of Vertex AI for machine learning model training, deployment, and management.