Posted:2 days ago| Platform: Linkedin logo

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Job Description

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Experience Required:

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Must Have : Python, ETL, GCP, Pyspark


The candidate should possess a valid driver's license and passport.



About the Role-


Azure Data Engineer

Key Responsibilities-


  • Design, develop, and maintain data pipelines and ETL processes on GCP.
  • Implement robust data ingestion frameworks from various sources (batch and streaming).
  • Perform data validation and verification to ensure data accuracy and consistency.
  • Collaborate with data scientists, analysts, and other stakeholders to deliver high-quality datasets.
  • Optimize data workflows for performance and cost-efficiency.
  • Ensure compliance with data governance, security, and privacy policies


Required Skills & Qualifications-


  • 3+ years of experience as a Data Engineer.
  • Strong expertise in

    Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.)

    .
  • Hands-on experience in building data ingestion pipelines (batch/stream).
  • Proficiency in data validation, data quality checks, and verification frameworks.
  • Strong programming skills in Python/SQL (Java or Scala is a plus).
  • Experience with orchestration tools like Airflow, Cloud Composer, or similar.
  • Good understanding of data modeling, warehouse concepts, and best practices.


Preferred Qualifications-

  • Experience with CI/CD for data pipelines.
  • Knowledge of data security and compliance standards.
  • Familiarity with containerization (Docker/Kubernetes).

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