Google Cloud Platform Data Architect- Hadoop - Dearborn MI (Day 1 onsite)

Pay Rate: $80-$90/hr maxLook for someone who has done Data Platform /DWH Implementations on Hadoop and should know the components /services to replicate Hadoop Services in Google Cloud Platform

Job Description: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 implementation5+ experience in Data modeling and Data warehouse and Data lake implementationWorking experience in implementing Hadoop to GCS and HIVE to Bigquery migration projectAbility 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 platformCapabilities 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 securityGoogle 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 securityExperience in Design, Deployment, configuration and Integration of application infrastructure resources including GKE clusters, Anthos, APIGEE and DevOps PlatformApplication 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.