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snowflake etl sql python data pipelines
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📋 Description

  • Design, develop, and maintain data pipelines from multiple sources.
  • Lead the design of Snowflake ingestion architectures.
  • Apply data validation to ensure accuracy and reliability.
  • Transform and normalize data for analytics use cases.
  • Collaborate with stakeholders to translate requirements into solutions.

🎯 Requirements

  • 4+ years of Data Engineering/Analytics with strong engineering focus.
  • Snowflake hands-on experience (Must).
  • Python for data processing and transformation.
  • SQL and large-scale data handling.
  • Experience with ETL pipelines and ingestion workflows.
  • Strong attention to data quality and reliability.

🎁 Benefits

  • AWS, Databricks, Snowflake certifications.
  • AI learning paths and Udemy access.
  • Mentoring and career development plans.
  • Travel opportunities for conferences.
  • Flexible working options.
  • English lessons for professional communication.
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