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.

Key Skills

Education

ANY GRADUATE