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snowflake etl sql python data transformation
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📋 Description

  • Design, develop, and maintain data pipelines to ingest, transform, and normalize data.
  • Lead the design of data ingestion architectures in Snowflake for scalability.
  • Apply data validation to ensure accuracy and reliability across datasets.
  • Transform and normalize data to support analytics and reporting.
  • Work with SQL and Python on large datasets to process and analyze data.
  • Ensure data quality with validation rules, checks, and monitoring.

🎯 Requirements

  • 4+ years in Data Engineering or Data Analytics with strong engineering focus.
  • Snowflake (Must) hands-on experience.
  • Python for data processing and transformation.
  • SQL and large-scale datasets experience.
  • Experience in data validation, transformation, and normalization.
  • ETL pipelines and data ingestion workflows experience.

🎁 Benefits

  • Certifications in AWS, Databricks, and Snowflake.
  • AI learning paths and Udemy Business access.
  • Mentoring and career development programs.
  • Travel opportunities to industry conferences.
  • Flexible working options.
  • English lessons for professional communication.
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