Description

Build and manage data pipelines and large-scale datasets within a financial services context.

Responsibilities

  • Develop and maintain ETL processes for enterprise data management.
  • Design and implement data architecture solutions.
  • Manage and query large datasets using SQL Server.
  • Write Python code to support data workflows.
  • Handle data footprints for securities and banking products.

Required Skills

  • 9+ years of professional experience.
  • 5+ years of experience in Enterprise Data Management.
  • 5+ years of SQL Server based development with large datasets.
  • 2+ years of Python coding experience.
  • 3+ years of ETL experience.
  • 1+ years of experience in Data Architecture.
  • 2+ years of experience in the Finance or Banking industry.
  • Understanding of Securities and Banking products.
  • Any graduate degree.

Education

ANY GRADUATE