Data Engineer

These roles will be involved in the active development of the data platform in close coordination with the team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains. These roles will be part of the Data Strategy team spanning across the Capital Markets and securities teams, Division’s broker-dealer and swap-dealer entities.

Job Title: Data Engineer
Location: Charlotte, NC 28202
Hybrid role
12 months contract

Description:
Role Objectives
These roles will be part of the Data Strategy team spanning across the Capital Markets and securities teams, Division’s broker-dealer and swap-dealer entities.
These roles will be involved in the active development of the data platform in close coordination with the team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team.
The implementation of this strategic platform on Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.

Qualifications and Skills

• Full stack Python/PySpark developer
• Proven experience as a Data Engineer with experience in Azure cloud.

Experience implementing solutions using -

• Azure cloud services
• Azure Data Factory
• Azure Lake Gen 2
• Azure Databases
• Azure Data Fabric
• API Gateway management
• Azure Functions
• Well versed with Azure Databricks
• Strong SQL skills with RDMS or noSQL databases
• Experience with developing API’s using FastAPI or similar frameworks in Python
• Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
• Good understanding of ETL/ELT processes
• Experience in financial services industry, financial instruments, asset classes and market data are a plus.