GCP Data Engineering

Role : GCP Data Engineer

Exp range: 6-8 years

Location: Pan India


Virtual Interview Date: 02-Sep-26


Job Description:


Required Technical Skills

  • Google Cloud Platform (GCP)
  • Dataproc
  • Dataflow
  • Pub/Sub
  • Cloud Functions
  • Cloud Composer
  • BigQuery
  • BigTable
  • Google Cloud Storage
  • Compute Engine
  • Cloud SQL
  • IAM
  • Python / PySpark / Java / Scala / SQL
  • Hadoop, Hive, Sqoop, Spark
  • Terraform (preferred) (JD_GCP Data Engineer | Word)


Key Responsibilities

  • Design, develop, and maintain scalable data pipelines on GCP.
  • Build and optimize ETL/ELT solutions using GCP services.
  • Develop data processing workflows using Dataproc, Dataflow, and Cloud Composer.
  • Implement data ingestion solutions using Pub/Sub and Cloud Functions.
  • Create and optimize BigQuery-based data warehouses and reporting solutions.
  • Collaborate with business and technical teams to deliver data-driven solutions.
  • Automate infrastructure deployment using Terraform.
  • Ensure performance, security, reliability, and scalability of cloud-based data platforms.


Note: If your experience matches the above JD and you are available to attend a virtual interview (02-Sep) , please apply at the earliest. Suitable candidates will be contacted for further discussion.

See also

Data Engineering jobs by country — openings, pay and top skills →

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