GCP Data Engineer

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Job Description

  • The candidate should have extensive production experience (3-5 Years ) in GCP, Other cloud experience would be a strong bonus.
  • Strong background in Data engineering 4-5 Years of exp in Big Data technologies including, Hadoop, NoSQL, Spark, Kafka etc.
  • Exposure to enterprise application development is a must


Cloud & Data Engineering

Open Positions:



  • 6-10 years of IT experience range is preferred.
  • Able to effectively use GCP managed services e.g. Dataproc, Dataflow, pub/sub, Cloud functions, Cloud composer, Big Query, Big Table, - At least 4 of these Services.
  • Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs.
  • Good hands on expertise on either Python or Java programming.
  • Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM.
  • Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos.
  • Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations.
  • Experience in architecting and designing technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities.
  • Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
  • Act as a subject-matter expert OR developer around GCP and become a trusted advisor to multiple teams.
  • Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required GCP technical certifications.


BE / B.Tech / MCA / M.Tech / M.Com

Years Of Exp:

6 to 10 Years

Posted On:



Module Lead Software Engineer

Company Info.


Impetus is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities, and technology expertise. Leverage our big data solutions for automated warehouse transformation (Impetus Workload Transformation Solution), real-time streaming and batch analytics (StreamAnalytix,) and rapid application development on Spar

  • Industry
    Information Technology
  • No. of Employees
  • Location
    720 University Avenue, Los Gatos, CA 95032, USA
  • Website
  • Jobs Posted

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