
Gcp Data Engineer
2 weeks ago
Job Description
The candidate should have extensive production experience (2+ Years ) in GCP
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 & Responsibilities
- 4-10 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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