Interview Going on GCP Data Architect Onsite role at Remote, Remote, USA |
Email: [email protected] |
From: saurav kumar, applabsystems [email protected] Reply to: [email protected] Title : GCP Data Architect Location : Dearborn ,MI (Onsite ) Duration 12+ Months Job Description - Demand Validation Template Inputs Detailed JD along with Primary Skills: Good to have GCP Certification (Either GCP Data Engineer or GCP Cloud Architect) 8 to 10 years of experience in Architecting Data projects and knowledge of multiple TD/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 Working experience in migrating 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. Thanks and Regards Saurav Kumar APPLAB Systems Keywords: continuous integration continuous deployment machine learning Michigan |
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Tue Mar 05 19:24:00 UTC 2024 |