Senior Python/React Full-Stack Engineer for Data Analytics

Bluelightconsulting; Ecatepec de Morelos; A distancia; MXN 500.000 - 800.000; Jornada completa

Descripción de la vacante

Bluelight is a leading software consultancy dedicated to designing innovative technology that improves users' lives. You will join a collaborative team that leverages modern tools to deliver high-quality solutions for diverse clients across the Americas.

You will work on backend services with Python (Flask, FastAPI, Django) and frontend with ReactJS, building scalable applications and robust data-access models while collaborating closely with product managers and data engineers in an Agile

Formación

• 5+ years of experience with Python backend development.
• Experience with ReactJS and modern frontend technologies.
• Strong knowledge of relational databases, esp. PostgreSQL.
• Ability to architect, test, and ship end-to-end full-stack solutions.
• Experience collaborating with product and data teams using Agile methods.

Responsabilidades

• Architect and implement end-to-end full-stack software solutions to meet complex requirements.
• Develop robust backend services using Python frameworks (Flask, FastAPI, Django).
• Create scalable frontend interfaces with ReactJS and TypeScript.
• Ensure data integrity and build efficient data-access models with PostgreSQL.
• Collaborate with product managers and data engineers to deliver analytics-driven features.

Conocimientos

Python

JavaScript/TypeScript

ReactJS

APIs

Agile methodologies

Herramientas

Flask

FastAPI

Django

PostgreSQL

Descripción del empleo

Bluelight is a leading software consultancy dedicated to designing innovative technology that improves users' lives. You will join a collaborative team that leverages modern tools to deliver high-quality solutions for diverse clients across the Americas.

You will work on backend services with Python (Flask, FastAPI, Django) and frontend with ReactJS, building scalable applications and robust data-access models while collaborating closely with product managers and data engineers in an Agile