Description

  • Design, develop, and optimize data pipelines to support fraud research and analytics use cases
  • Research and analyze fraud events by querying and correlating structured and unstructured data across multiple platforms
  • Write complex, high-performance SQL queries to extract, transform, and analyze large datasets
  • Work extensively with Oracle databases to support enterprise-scale fraud analytics
  • Utilize MongoDB for handling semi-structured and unstructured fraud-related data

Key Skills
Education

Any Gradute

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