Data Engineer - Google Cloud Platform

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities

  • Design, build, and maintain data pipelines and ETL workflows on Google Cloud Platform.
  • Work with BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage to enable scalable data solutions.
  • Develop and optimize data models, transformations, and analytics layers.
  • Write efficient Python/SQL scripts for data processing and automation.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Implement best practices for performance, scalability, security, and cost optimization.
  • Support data migration and integration from traditional databases to BigQuery.
  • Work with CI/CD pipelines, Docker, and Kubernetes for deployment.

Requirements

  • 5+ years of hands-on experience in Data Engineering
  • Strong expertise in Google Cloud Platform (GCP) services BigQuery, Dataflow, Pub/Sub, Dataproc
  • Proficiency in Python and SQL for large-scale data processing
  • Solid experience with ETL pipelines, data modeling, and performance tuning
  • Familiarity with Airflow/Cloud Composer for orchestration
  • Experience with Docker, Kubernetes, Terraform, CI/CD is a plus
  • Excellent problem-solving and communication skills
(ref:hirist.tech)

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