Azure Data Platform Engineer – Capital Markets Hybrid

RSC Solutions; Charlotte (NC); Hybrid; USD 120,000 - 160,000; Full time

Job summary

RSC Solutions seeks a data engineer for a hybrid role within the Data Strategy team, spanning Capital Markets and Nikko securities. You will help develop a reference data platform for securities and pricing data on Azure, coordinating with Americas broker-dealer and swap-dealer units to align with internal standards.

The role requires strong Python/PySpark, Azure, and API development skills, plus DevOps experience and familiarity with ETL/ELT processes in finance data environments.

Qualifications

• Full stack Python/PySpark development experience.
• Proven experience as a Data Engineer with Azure cloud.
• Experience implementing Azure services (Azure Data Factory, Lake Gen 2, Databases, Data Fabric).
• API development with Python (FastAPI or similar).
• DevOps familiarity (Git, Jenkins) and CI/CD processes.
• Strong SQL skills with RDMS or NoSQL databases.
• Knowledge of ETL/ELT processes.
• Experience in financial services data is a plus.

Responsibilities

• Collaborate on building a data platform within Client's Azure cloud.
• Establish reference data systems for securities and pricing data.
• Work with Capital Markets and Nikko teams across the Americas business lines.
• Ensure adherence to internal data standards within the Data Strategy program.

Skills

Python

PySpark

Azure

Azure Data Factory

Lake Gen 2

Azure Databases

Azure Data Fabric

API Gateway

Azure Functions

Azure Databricks

SQL

RDMS

NoSQL

FastAPI

CI/CD

Git

Jenkins

ETL/ELT

DevOps

Financial data

Tools

FastAPI

Git

Jenkins

CI/CD

Azure

Job description

RSC Solutions seeks a data engineer for a hybrid role within the Data Strategy team, spanning Capital Markets and Nikko securities. You will help develop a reference data platform for securities and pricing data on Azure, coordinating with Americas broker-dealer and swap-dealer units to align with internal standards.

The role requires strong Python/PySpark, Azure, and API development skills, plus DevOps experience and familiarity with ETL/ELT processes in finance data environments.