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Senior Data Engineer

Senior Data Engineer

People Prime WorldwideKurnool, Andhra Pradesh, India
30+ days ago
Job description

Job Description :

Key Responsibilities :

  • Design, develop, test, and maintain scalable ETL data pipelines using Python.
  • Work extensively on Google Cloud Platform (GCP) services such as :

○ Dataflow for real-time and batch data processing

○ Cloud Functions for lightweight serverless compute

○ BigQuery for data warehousing and analytics

○ Cloud Composer for orchestration of data workflows (based on Apache

Airflow)

○ Google Cloud Storage (GCS) for managing data at scale

○ IAM for access control and security

○ Cloud Run for containerized application

Required Skills :

7–10 years of hands-on experience in Python for backend or data engineering

projects.

  • Strong understanding and working experience with GCP cloud services
  • (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).

  • Solid understanding of data pipeline architecture, data integration, and
  • transformation techniques.

  • Experience in working with version control systems like GitHub and knowledge of
  • CI / CD practices.

  • Experience in Apache Spark, Kafka, Redis, Fast APIs, Airflow, GCP Composer DAGs.
  • Strong experience in SQL with at least one enterprise database (SQL Server,
  • Experience in data migrations from on-premise data sources to Cloud platforms.
  • Important Note (Please Read Before Applying)

    Do NOT apply if :

    You have less than 7 years or more than 14 years of experience

    You do not have hands-on GCP experience

    You do not have hands-on Python experience

    You are on a notice period longer than 15 days

    You are looking for remote only (role is hybrid in Hyderabad)

    You are a fresher or unrelated background (e.g., support, testing only, non-IT roles)

    ✅ Apply ONLY if you meet ALL criteria above. Random / irrelevant applications will not be processed .

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    Senior Data Engineer • Kurnool, Andhra Pradesh, India

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