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 

Role:

• 8-10 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.

Education/Qualification:

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