Data Engineer - Python

Role Description

SMBC is in the process of leading a Digital Transformation across our Americas Division as we continue to modernize our technology, focus on our data-driven approach, grow, and plan for the future.

Role Objectives

• These roles will be part of the Data Strategy team spanning across the SMBC Capital Markets and Nikko securities teams, SMBC Americas 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 SMBC 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 SMBC's Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.

Qualifications and Skills (Not necessary to have all but core skills must)

• 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.