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- Good to have Google Cloud Platform Certification (Either Google Cloud Platform Data Engineer or Google Cloud Platform Cloud Architect)
- 15+ years of experience in Architecting Data projects and knowledge of multiple Hadoop/Hive/Spark/ML implementation
- 5+ experience in Data modeling and Data warehouse and Data lake implementation
- Working experience in implementing Hadoop to GCS and HIVE to Bigquery migration project
- Ability to identify and gather requirements to define a solution to be built and operated on Google Cloud Platform, perform high-level and low-level design for the Google Cloud Platform platform
- Capabilities to implement and provide Google Cloud Platform operations and deployment guidance and best practices throughout the lifecycle of a project.
- Google Cloud Platform 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
- Google Cloud Platform 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 Google Cloud Platform operations and deployment guidance and best practices throughout the lifecycle of a project.