Description

  • Assist in designing and implementing reliable data architectures for storage, processing, and analysis.
  • Help develop and maintain ETL pipelines for centralized data warehousing.
  • Support the creation and implementation of data models for efficient querying and analysis.
  • Assist in cleaning and pre-processing raw data to ensure quality and consistency.
  • Help optimize data pipelines and queries to improve performance.
  • Contribute in troubleshooting data pipelines and systems under supervision.
  • Assist in documenting data architecture, processes, and best practices for team collaboration

Key Skills
Education

Master's degree

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