• Good to have GCP Certification (Either GCP Data Engineer or GCP Cloud Architect)
• 15+ years of experience in Architecting Data projects and knowledge of multiple ETL tools (like Informatica, Talend, DataStage, etc.)
• 5+ experience in Data modeling and Data warehouse and Data lake implementation
• Experience in implementing Teradata to Bigquery migration project
• Ability to identify and gather requirements to define a solution to be built and operated on GCP, perform high-level and low-level design for the GCP platform
• Capabilities to implement and provide GCP operations and deployment guidance and best practices throughout the lifecycle of a project.
• GCP technology areas of Data store, Big Query, Cloud storage, Persistent disk IAM, Roles, Projects, Organization.
• Databases including Big table, Cloud SQL, Cloud Spanner, Memory store, Data Analytics Data Flow, DataProc, Cloud Pub/Sub, Kubernetes, Docker, managing containers, container auto scaling and container security
• GCP technology areas of Data store, Big Query, Cloud storage, Persistent disk IAM, Roles, Projects, Organization.
• Databases including Big table, Cloud SQL, Cloud Spanner, Memory store, Data Analytics Data Flow, DataProc, Cloud Pub/Sub, Kubernetes, Docker, managing containers, container auto scaling and container security
• Experience in Design, Deployment, configuration and Integration of application infrastructure resources including GKE clusters, Anthos, APIGEE and DevOps Platform
• Application development concepts and technologies (e.g. CI/CD, Java, Python)
• Capabilities to implement and provide GCP operations and deployment guidance and best practices throughout the lifecycle of a project.”