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Data Engineer - Google Cloud Platform

Data Engineer - Google Cloud Platform

BlueByte TechnologiesHyderabad
1 day ago
Job description

Description :

  • We are seeking a skilled GCP Data Engineer / Developer to design, build, and optimize scalable data pipelines and applications on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with BigQuery, PySpark, and Airflow DAGs, with added advantage if they possess Java and ReactJS development experience for end-to-end data and application development.

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.

    • Nice to Have :

  • Experience with Java (Spring Boot) for backend development.
  • Knowledge of ReactJS for UI development.
  • Familiarity with Cloud Composer, Dataflow, or Pub / Sub.
  • Exposure to DevOps practices and containerization (Docker / Kubernetes).

    • (ref : hirist.tech)

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