GCP Data Engineer

We need GCP engineers for capacity building;

- The candidate should have extensive production experience (1-2 Years ) in GCP, Other cloud experience would be a strong bonus.

- Strong background in Data engineering 2-3 Years of exp in Big Data technologies including, Hadoop, NoSQL, Spark, Kafka etc.

- Exposure to enterprise application development is a must

Roles and Responsibilities

4-7 years of IT experience range is preferred.

Able to effectively use GCP managed services e.g. Dataproc, Dataflow, pub/sub, Cloud functions, Big Query, GCS- At least 4 of these Services.

Good to have knowledge on Cloud Composer, Cloud SQL, Big Table, Cloud Function.

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 with 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.

Technical ability to become certified in required GCP technical certifications.

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