GCP Data Engineer

5 days ago

Hyderabad, Telangana, India viraaj hr solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year
About the Opportunity

A fast-growing organisation operating in Cloud Data Engineering and Enterprise Analytics, delivering production-grade data platforms and real-time analytics solutions for large-scale business customers. We design, build and operate secure, scalable data systems on Google Cloud to enable data-driven decision-making across marketing, product and operations.

Primary title: Google Cloud Data Engineer · Location: India (On-site)

Role & Responsibilities
  • Design, build and maintain end-to-end data pipelines on Google Cloud (batch and streaming) using Dataflow, Pub/Sub, Cloud Storage and BigQuery.
  • Implement ETL/ELT patterns and data ingestion frameworks with Apache Beam, ensuring data quality, partitioning and cost-efficient storage/query strategies.
  • Author infrastructure-as-code (Terraform) for reproducible deployments, manage environment provisioning and CI/CD for data workloads.
  • Optimize query performance, cost and throughput in BigQuery; implement partitioning, clustering and materialized views where appropriate.
  • Instrument observability: build monitoring, logging and alerting (Cloud Monitoring / Logging) and runbook procedures for data jobs and pipelines.
  • Collaborate with Data Science, Product and Business stakeholders to translate requirements into robust, production-ready data solutions and mentor junior engineers.
Skills & Qualifications
Must-Have
  • Proven hands-on experience building production data pipelines on Google Cloud Platform
  • Strong proficiency with BigQuery and SQL query tuning
  • Experience with Dataflow and Apache Beam for streaming/batch processing
  • Experience with Pub/Sub and Cloud Storage for ingestion and staging
  • Familiarity with workflow orchestration (Cloud Composer / Airflow)
  • Experience with infrastructure-as-code (Terraform) and CI/CD for data applications
Preferred
  • Google Cloud Professional Data Engineer certification
  • Familiarity with Dataproc / Spark or Bigtable for specialized workloads
  • Experience with cost optimization and governance for large BigQuery deployments
Benefits & Culture Highlights
  • On-site role with exposure to enterprise-scale data projects and cross-functional teams.
  • Opportunity for rapid skill growth in cloud-native data engineering and mentoring responsibilities.
  • Structured learning path and support for GCP certifications and advanced training.

Apply if you enjoy solving complex data problems on Google Cloud, shipping reliable pipelines into production, and working hands-on with modern data stacks. Candidates must be available to work on-site in India.

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