Hybrid Analytics Full-Stack Engineer (Python/React)

Oliver Wyman

Mexico

On-site

PHP 4,378,000 - 6,879,000

Full time

38 hours ago
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Job summary

Oliver Wyman is seeking an Analytics Application Developer to join as a Full Stack Software Engineer. The role focuses on bridging data analytics and software development with strong frontend skills in HTML/CSS/JS/React and backend work in Python and FastAPI.

You will build tools for data exploration, visualization, and reporting while embracing API-first design. The ideal candidate has 3+ years of professional software engineering experience, familiarity with MEAN/MERN and containerized

Qualifications

  • 3+ years of professional software engineering experience.
  • Experience with Python, preferably FastAPI.
  • Experience with MEAN or MERN stack (Node.js, Express.js, Angular or React, MongoDB).
  • Experience with SQL and NoSQL databases.
  • Strong understanding of Git, CI/CD pipelines, and Agile development.

Responsibilities

  • Contribute to design and development of applications using MEAN/MERN and Python FastAPI.
  • Develop tools for data exploration, visualization, and reporting.
  • Design with microservices and API-first development in mind.
  • Develop and deploy applications with container technologies (Docker/Kubernetes).
  • Develop clean, responsive UIs using HTML5, CSS3, JavaScript/TypeScript, React.
  • Optimize front-end performance for speed and scalability.

Skills

Python
React
Front-end development
Full stack

Education

Bachelor's degree in Computer Science or related field

Tools

MEAN/MERN stack
FastAPI
Docker
Kubernetes
Git/CI-CD

Job description

Oliver Wyman is seeking an Analytics Application Developer to join as a Full Stack Software Engineer. The role focuses on bridging data analytics and software development with strong frontend skills in HTML/CSS/JS/React and backend work in Python and FastAPI.

You will build tools for data exploration, visualization, and reporting while embracing API-first design. The ideal candidate has 3+ years of professional software engineering experience, familiarity with MEAN/MERN and containerized

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