Python Engineer with PySpark with Azure Experience - Charlotte, NC at Floga Technologies Charlo[...]

JIT Global Freight Solution P Ltd; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

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

Python Engineer with PySpark and Azure Experience – Charlotte, NC

Position: Python Engineer with PySpark and Azure experience, focusing on investment banks domain.

Location: Charlotte, NC (hybrid, 2 days on-site)

Duration: 6 months+

Experience Level: 8 years+

Mandatory Skills

• Python Engineer – 9‑10 years
• PySpark – 5‑6 years
• Azure Development – 5‑6 years
• Investment banks – 5‑6 years
• Data Engineer with experience in Azure cloud – 5‑6 years
• Azure cloud services – 5‑6 years
• Azure Data Factory – 5‑6 years
• Azure Lake Gen 2 – 5‑6 years
• Azure Databases – 5‑6 years
• Azure Data Fabric – 5‑6 years
• API Gateway management & Azure Functions – 5‑6 years
• Azure Databricks – 5‑6 years
• SQL skills with RDBMS or NoSQL databases – 5‑6 years
• Developing API using FastAPI or similar frameworks in Python – 5‑6 years
• ETL/ELT processes – 5‑6 years
• Financial services industry, financial instruments, asset classes, and market data – 5‑6 years
• DevOps lifecycle (git, Jenkins, etc.), CI/CD processes – 5‑6 years

Role Description

We are seeking experienced software Data engineers in Charlotte (N.C) with 10+ years of relevant experience to support the design and development of a strategic data platform for investment banks.

Role Objectives

These roles will be part of the Data Strategy team spanning across the Capital Markets and securities teams, broker‑dealer, and swap‑dealer entities.

These roles will be involved in the active development of the data platform in close coordination with the client 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 development 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

• 10+ years of experience in software development using Python, PySpark and its frameworks.
• Proven experience as a Data Engineer with experience in Azure cloud.
• Experience implementing solutions using the following Azure services:
• Azure cloud services
• Azure Data Factory
• Azure Lake Gen 2
• Azure Databases
• Azure Data Fabric
• API Gateway management
• Azure Functions
• Azure Databricks
• Strong SQL skills with RDBMS or NoSQL databases.
• Experience with developing APIs 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 the financial services industry, financial instruments, asset classes, and market data is a plus.