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Job Type

Full Time

Job Description

Job Summary:

GCP Data Engineer / Developer

 

Key Responsibilities:

  • Design, develop, and maintain 

    data ingestion and transformation pipelines

     on 

    GCP

     using 

    BigQuery, PySpark

    , and 

    Airflow DAGs

    .
  • Implement 

    data processing and analytics

     workflows aligned with performance, scalability, and reliability standards.
  • Collaborate with cross-functional teams (data architects, analysts, and application developers) to deliver integrated solutions.
  • Optimize 

    BigQuery SQL scripts

     for efficiency and cost management.
  • Develop reusable data processing components and automation frameworks.
  • (Optional) Contribute to 

    frontend and backend development

     using 

    ReactJS

     and 

    Java

     when required.
  • Troubleshoot and resolve data or application-related issues proactively.
  • Follow Agile methodologies, participate in sprint planning, and deliver high-quality code.

 

Required Skills & Experience:

  • 5+ years of experience in 

    GCP-based data engineering

    .
  • Strong expertise in 

    BigQuery

    PySpark

    , and 

    Airflow (DAG development)

    .
  • Proficiency in 

    SQL

     and data modeling concepts.
  • Experience with 

    CI/CD pipelines

    , Git, and version control.
  • Good understanding of 

    data integration, ETL, and orchestration frameworks

    .
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration abilities.


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