What are the responsibilities and job description for the Data Achitect position at ApTask?
Job Description
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 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.
