GCP Professional Cloud Architect certification preferred (Data Engineer or Cloud Architect)
15+ years in architecting data projects with Hadoop, Hive, and Spark
5+ years in data modeling and implementation of data warehouses and data lakes
Experience in migrating projects from Hadoop to GCS and HIVE to BigQuery
Skilled in requirement gathering and solution definition for GCP implementations
Proficient in GCP operations, deployment guidance, and best practices
Familiar with GCP data technologies and associated databases.
Responsibilities
Design and implement data architectures on GCP.
Migrate existing data solutions from Hadoop to Google Cloud.
Create data models for data warehouses and data lakes.
Gather requirements and design solutions for GCP operations.
Provide operational guidance and best practices for GCP deployments.
Configure and integrate application infrastructure, including GKE and Anthos.
Develop applications using technologies such as CI/CD, Java, and Python.
Benefits
Onsite work from Day 1 in Dearborn, MI.
One-year contract with the possibility of extension or conversion.
Opportunity to work with advanced GCP technologies and frameworks.
Hands-on experience with large-scale data solutions and migrations.
Full Job Description
Position :- GCP Data Architect- Hadoop Location :- Dearborn MI (Day 1 onsite) Duration: 12 months
Skills: GCP Professional cloud architect
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 Hadoop/Hive/Spark/Client 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 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.
