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.