Software Data Engineer

Role Objectives

• Work as part of a Data Strategy team supporting the development and implementation of a strategic data platform.
• Contribute to the active development of a data platform, beginning with reference data systems for securities and pricing data and expanding to additional data domains.
• Collaborate closely with engineering and data teams to design, develop, and implement data solutions.
• Follow established development standards and contribute to data platform engineering initiatives.
• Design and implement solutions using cloud-based data services and modern data engineering technologies.

Qualifications and Skills

• Full-stack Python/PySpark development experience.
• Proven experience as a Data Engineer with strong Azure Cloud experience.
• Hands-on experience implementing solutions using:
  • Azure Cloud Services
  • Azure Data Factory
  • Azure Data Lake Storage Gen2
  • Azure Database Services
  • Azure Data Fabric
  • API Gateway / API Management
  • Azure Functions
• Strong experience with Azure Databricks.
• Strong SQL skills with relational and/or NoSQL databases.
• Experience developing APIs using FastAPI or similar Python frameworks.
• Familiarity with the DevOps lifecycle, including Git, Jenkins, and similar tools.
• Experience with CI/CD processes.
• Strong understanding of ETL/ELT processes.
• Financial services experience, including familiarity with financial instruments, asset classes, securities, pricing data, or market data, is a plus.