Fullstack Developer

Next Ventures; Paris; Sur place; EUR 83 025 - 101 475; Plein temps

Résumé du poste

Next Ventures is seeking a FullStack Engineer for a 6-month contract in Saint-Denis, Paris, with a daily rate of €500 and an immediate start. The role includes 2 days per week onsite in Saint-Denis, Paris to collaborate with the team on data analysis solutions and the industrialization of data science components.

Strong Python skills (Flask, Pandas, Plotly) and Vue.js/Node.js frontend experience are required, along with DevOps experience with GitLab, Docker, and SonarQube.

Qualifications

• Proficiency in Python for data analysis and processing with Flask, Pandas and Plotly.
• Front-end experience with Vue.js (SPA) and Node.js.
• DevOps experience with GitLab, Docker, SonarQube, Checkmarx, etc.

Responsabilités

• Contribute to the design and development of solutions to address priority data analysis and reporting needs.
• Help improve the integration and industrialization of data science core components and business application developments within the information system.
• Prepare solution design and operational documentation for delivered solutions.
• Monitor emerging technologies and propose innovative solutions for leveraging DOAAT data.
• Contribute to defining guidelines for platform usage, as well as development and deployment best practices.

Connaissances

Python

Vue.js

Node.js

OOP

Outils

Flask

Pandas

Plotly

GitLab

Docker

SonarQube

Checkmarx

Hadoop

HBase

HDFS

Description du poste

Overview

FullStack Engineer, €500 per day | 6-Month Contract | Immediate Start | 2 Days per Week Onsite in Saint-Denis, Paris

Responsibilities

• Contribute to the design and development of solutions to address priority data analysis and reporting needs.
• Help improve the integration and industrialization of data science core components and business application developments within the information system.
• Prepare solution design and operational documentation for delivered solutions.
• Monitor emerging technologies and propose innovative solutions for leveraging DOAAT data.
• Contribute to defining guidelines for platform usage, as well as development and deployment best practices.

Qualifications

• Strong proficiency in Python for data analysis and processing (Flask, Pandas, Plotly, etc.) using Object-Oriented Programming (OOP).
• Strong proficiency in front-end development using Vue.js (SPA) and Node.js.
• DevOps experience with tools such as GitLab, Docker, SonarQube, Checkmarx, etc.
• Experience facilitating design workshops, training sessions, and technical communities of practice.
• Knowledge of Big Data architectures, including Hadoop, HBase, and HDFS.