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IntraEdge

GCP Data Engineer

6-8 Years
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  • Posted 4 days ago
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Job Description

Job Opportunity – GCP Data Engineer (6+ Years Experience)

Location: Pune (Preferred)

Work Model: Hybrid – 3 Days/Week from IntraEdge Pune Office

Experience: 6+ Years

We are hiring an experienced GCP Data Engineer to design, build, and optimize large-scale cloud-native data platforms on Google Cloud Platform (GCP). This is an excellent opportunity to work on enterprise-scale data engineering projects involving real-time and batch data processing.

Key Responsibilities

  • Design, develop, and maintain scalable batch and real-time data pipelines on GCP.
  • Build data ingestion and transformation pipelines using Dataflow, Dataproc, and Pub/Sub.
  • Design and optimize data models in BigQuery for analytics, reporting, and AI/ML workloads.
  • Develop highly scalable solutions using Cloud Spanner.
  • Build data integration frameworks for structured and unstructured data.
  • Optimize data processing for performance, scalability, reliability, and cost efficiency.
  • Collaborate with architects, data scientists, business teams, and DevOps engineers.
  • Implement CI/CD, monitoring, security, and cloud governance best practices.
  • Troubleshoot and support production data pipelines.

Required Skills

  • 6+ years of overall IT experience with at least 5 years in GCP Data Engineering.
  • Strong hands-on experience with:
  • Google Cloud Dataflow
  • Google Cloud Dataproc
  • Google Cloud Pub/Sub
  • BigQuery
  • Cloud Spanner
  • Strong programming skills in Python, Java, or Scala.
  • Experience with Apache Spark, ETL/ELT frameworks, and distributed data processing.
  • Strong understanding of data warehousing, data modeling, and cloud architecture.
  • Experience with DevOps, CI/CD, Infrastructure as Code, and monitoring tools.
  • Good communication and stakeholder management skills.

Preferred Skills

  • GCP Professional Data Engineer Certification.
  • Experience with Kafka, Airflow/Cloud Composer, Terraform, and Kubernetes.
  • Exposure to AI/ML data pipelines and modern data lakehouse architectures.

Interview Process

  • 3–4 rounds of interviews.
  • One interview round will be conducted in person at the Pune office, and candidate presence is mandatory.

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About Company

Job ID: 150646425

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