GCP Administration Location: Bolingbrook, IL (Hybrid mode – 3 days biweekly, Need local profiles) visa: H1b,H4,USC Must share the PP number

Skills:
GCP BigQuery, Data Flow, Cloud Compute, Cloud Storage, Workload Management, Cost Optimization.
GCP Administration (70%)
•   Perform administrative tasks such as user access, service accounts creation, work with Cloud Security for provisioning and troubleshooting.
•   Monitor day to day performance of the GCP services and take proactive steps to avoid failure or data pipelines execution or slowness of the jobs.
•   Manage upgrades for GCP services such as Cloud Composer. Work closely with cloud engineering to enable/configure GCP services.
•   Manage Data Security, PII Tagging, Authorizations. Work with Compliance team to support compliance requirements such as SOX and CCPA.
•   Cloud Cost Manage as SRE
•   Log analytics for Bigquery , workload management to manage and allocate compute resources for data analysis
•   Should have knowledge of upgrading of Composer in GCP
•   Provide technical support to GCP users, troubleshooting issues, and resolving errors.
GCP Development (30%)
•   Lead offshore platform GCP engineers to support the tasks development.
•   Develop CI/CD pipelines for deployment of artifacts.
•   Create dashboards in Looker for Big Query performance monitoring, slots management, user queries.
•   Work with Platform Architects for building new capabilities/frameworks or setting up policies/guidelines for development teams.
•   Perform POC of new GCP services including Big Query new features and implementation.
•   Work with Cloud security for building security frameworks and perform vulnerability assessment to detect/resolve platform security issues.
•   Develop Data Engineering pipelines for Data Ingestion into GCP Platform/Big Query.
Requirements:
•   Bachelor's degree in Computer Science, Information Technology, or related field.
•   Hands-on experience in the administration of GCP services such as Cloud dataflow, Cloud Pub-Sub, Big Query, Cloud Storage, Cloud Functions, Cloud Composer, DataProc etc.
•   Experience/familiarity with ETL process, streaming data, Kafka, API and SQL.
•   Experience in scripting using Python and Windows/Unix commands.
•   Expert in Cost management as SRE
•   Log analytics for Bigquery , workload management to manage and allocate compute resources for data analysis
•   Experience with CI/CD, Git/Jenkins workflows and SDLC cycle supporting multiple non-production and production environments.
•   Experience in automation of the deployment of services and configuration updates is a plus.