Senior Python Engineer - PySpark & Azure (Finance Data)

JIT Global Freight Solution P Ltd

Charlotte (NC)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Job summary

JIT Global Freight Solution P Ltd seeks a Python Engineer with PySpark and Azure experience for a Charlotte, NC hybrid role. Focused on building a strategic data platform for investment banks, you will work with the Data Strategy team to design reference data systems and pricing data, leveraging Azure cloud services.

The role requires 10+ years in software development with Python and PySpark, and strong Azure data engineering expertise.

Qualifications

  • 10+ years of Python and PySpark software development experience.
  • Proven Data Engineer experience on Azure cloud.
  • Experience building data platforms for financial services is a plus.
  • Strong SQL skills with either RDBMS or NoSQL databases.
  • Experience developing APIs using Python (FastAPI or similar).
  • Familiarity with DevOps lifecycle and CI/CD processes.
  • ETL/ELT design and implementation experience.

Responsibilities

  • Contribute to design and development of a strategic data platform for investment banks.
  • Collaborate with Data Strategy and client teams across Capital Markets and securities entities.
  • Establish a reference data system for securities and pricing data.
  • Implement Azure-based data solutions following internal standards.

Skills

Python
PySpark
SQL
APIs (FastAPI)
ETL/ELT
CI/CD
DevOps
Financial data knowledge
Azure cloud

Tools

Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Data Fabric
API Gateway
Azure Functions
Azure Databricks
SQL databases (RDBMS/NoSQL)

Job description

JIT Global Freight Solution P Ltd seeks a Python Engineer with PySpark and Azure experience for a Charlotte, NC hybrid role. Focused on building a strategic data platform for investment banks, you will work with the Data Strategy team to design reference data systems and pricing data, leveraging Azure cloud services.

The role requires 10+ years in software development with Python and PySpark, and strong Azure data engineering expertise.

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