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๐Ÿ“œ Description

  • Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
  • Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
  • Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets.
  • Perform data transformation and normalization to support analytics and reporting use cases.
  • Work with large datasets using SQL and Python to process and analyze data efficiently.
  • Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.

๐Ÿ› ๏ธ Requirements

  • 4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus.
  • Strong hands-on experience with Snowflake.
  • Strong hands-on experience with Python for data processing and transformation.
  • Strong experience with SQL and working with large-scale datasets.
  • Proven experience in data validation, data transformation, and normalization.
  • Experience building and maintaining ETL pipelines and handling data ingestion workflows.
  • Strong attention to detail with a focus on data quality and reliability.

โœจ Benefits

  • ๐Ÿ“š Learning Opportunities:&#xa0
  • Access to AI learning paths to stay up to date with the latest technologies.&#xa0
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