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Python Full Stack Developer

  • Full Time, onsite
  • Acadia Technologies, Inc.
  • On Site, United States of America
Salary undisclosed

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Core Python Skills:
  • Python Proficiency:
    Demonstrate a strong understanding of Python syntax, data structures, and object-oriented programming principles.
  • Web Frameworks:
    Showcase experience with popular frameworks like Django or Flask for building web applications.
  • Database Management:
    Highlight experience with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
  • RESTful APIs:
    Emphasize experience in designing, developing, and integrating RESTful APIs.
Front-End Skills:
  • HTML, CSS, and JavaScript: Showcase proficiency in these fundamental front-end technologies.
  • JavaScript Frameworks/Libraries: Mention experience with modern JavaScript frameworks or libraries (e.g., React, Angular, Vue).
Back-End Skills:
  • Server-Side Languages: Mention experience with other back-end languages if applicable (e.g., Node.js).
  • Database Design and Optimization: Highlight experience in designing efficient and scalable database schemas.
  • API Development: Showcase experience in developing and documenting APIs.
Other Important Skills:
  • Version Control: Emphasize proficiency in Git and other version control systems.
  • Cloud Computing: Mention experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Testing and Debugging: Highlight experience in writing unit tests, debugging code, and ensuring software quality.
  • Deployment and DevOps: Showcase familiarity with deploying applications, containerization (Docker), and CI/CD pipelines.
  • Agile Methodologies: Mention experience with Agile development methodologies and frameworks like Scrum.
  • Problem-Solving and Communication: Emphasize your ability to solve complex problems and communicate technical concepts effectively.
  • Data Analysis and Visualization: If applicable, mention experience with data analysis libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
  • Machine Learning: If applicable, mention experience with machine learning libraries (e.g., Scikit-learn, TensorFlow).
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.
Report this job
Core Python Skills:
  • Python Proficiency:
    Demonstrate a strong understanding of Python syntax, data structures, and object-oriented programming principles.
  • Web Frameworks:
    Showcase experience with popular frameworks like Django or Flask for building web applications.
  • Database Management:
    Highlight experience with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
  • RESTful APIs:
    Emphasize experience in designing, developing, and integrating RESTful APIs.
Front-End Skills:
  • HTML, CSS, and JavaScript: Showcase proficiency in these fundamental front-end technologies.
  • JavaScript Frameworks/Libraries: Mention experience with modern JavaScript frameworks or libraries (e.g., React, Angular, Vue).
Back-End Skills:
  • Server-Side Languages: Mention experience with other back-end languages if applicable (e.g., Node.js).
  • Database Design and Optimization: Highlight experience in designing efficient and scalable database schemas.
  • API Development: Showcase experience in developing and documenting APIs.
Other Important Skills:
  • Version Control: Emphasize proficiency in Git and other version control systems.
  • Cloud Computing: Mention experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Testing and Debugging: Highlight experience in writing unit tests, debugging code, and ensuring software quality.
  • Deployment and DevOps: Showcase familiarity with deploying applications, containerization (Docker), and CI/CD pipelines.
  • Agile Methodologies: Mention experience with Agile development methodologies and frameworks like Scrum.
  • Problem-Solving and Communication: Emphasize your ability to solve complex problems and communicate technical concepts effectively.
  • Data Analysis and Visualization: If applicable, mention experience with data analysis libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
  • Machine Learning: If applicable, mention experience with machine learning libraries (e.g., Scikit-learn, TensorFlow).
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.
Report this job