Python Full Stack Developer

Overview

On Site
$60,000 - $80,000
Full Time

Skills

Python
Django & Flask
HTML/CSS
Java Script
API & RESTful APIs
React & Angular
PostgreSQL & Mongo DB
Git
Testing & Debugging
DSA

Job Details

Core Python Skills:
  • Python Fundamentals: Mastery of Python syntax, data structures, object-oriented programming, and common libraries.
  • Back-end Frameworks: Proficiency in at least one Python web framework such as Django or Flask.
  • API Development: Understanding how to design, build, and consume APIs (RESTful APIs are common).
Front-End Development:
  • HTML, CSS, and JavaScript: Essential for building the user interface.
  • Front-end Frameworks/Libraries: Familiarity with frameworks like React, Angular, or Vue.js can be beneficial.
  • Responsive Web Design: Ensuring applications work well on different devices and screen sizes.
Database Management:
  • Relational Databases: Understanding SQL and experience with databases like PostgreSQL or MySQL.
  • NoSQL Databases: Experience with databases like MongoDB can also be valuable.
Other Essential Skills:
  • Version Control (Git):
    Essential for collaborative development and managing code changes.
  • Testing and Debugging:
    Proficiency in testing methodologies (unit tests, integration tests) and debugging techniques.
  • DevOps and Deployment:
    Understanding how to deploy applications to servers and manage deployment pipelines. Cloud platforms (AWS, Google Cloud, Azure) are also helpful.
  • Problem Solving:
    Strong analytical and problem-solving skills are crucial for debugging and building efficient solutions.
  • Communication and Collaboration:
    Being able to effectively communicate with team members, stakeholders, and users.
  • Soft Skills:
    Time management, teamwork, and the ability to adapt to new technologies are also highly valued.
In addition to these technical skills, a full-stack developer should also be familiar with:
  • HTTP and REST principles: Understanding how web communication works.
  • Security best practices: Protecting applications from vulnerabilities.
  • Design patterns: Understanding common design patterns for building scalable and maintainable applications.
  • Data structures and algorithms: For optimizing performance and solving complex problems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.