Python Developer

Must Haves: Python, Rest API (Flask or Fast API), Pandas or NumPy, Pytest or Unitest 

 

• The position is focused on python development of components for a software application platform that will produce enterprise level reporting based on financial statements and models.
• The candidate will develop and support the middle layer of the application to build, test, and deploy RESTful micro services, create shared services components, and collaborate with other Dev teams, Dev Ops, and User Interface teams. 
  
   

Responsibilities Include

Engineer capable of designing solutions, writing code, testing code, automating test and deployment

Develop and maintain high-quality software code and automated tests (including Unit, Functional, Performance, Acceptance) for web interface application that integrates data, analytics, and reporting components

Predictable results: changes in code can be proven to be correct and bug-free

Production resilience: system must be highly available with minimal downtime

High performance: develop scalable calculations to maintain performance over large data sets

Ready, willing, and able to pick up new technologies and pitch in on story tasks (design, code, test, CI/CD, deploy, etc.)

Technical Skills

Strong Proficiency in Python programming language, including experience with frameworks such as Flask, Django and FastAPI

Experience with RESTful APIs and microservices architecture, and an understanding of how to design and implement them effectively.

Back End Skills: Python, Django/Flask/FastAPI, NumPy, pandas and Relational Database

Refactoring Skills: Knowledge of how to refactor code to improve its quality, maintainability, performance, and scalability while preserving its functionality.

Automation Testing: Pytest, Unitest, Monkey patch, pytest-mockito etc.

Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence

DevOps: Linux & Docker

Preferred Qualifications

Bachelor's degree, ideally in Financial Engineering , Computer Science, or a related quantitative discipline

Prior experience with financial services companies desired