General Summary:
Job Description: We are seeking a highly skilled Full Stack Python Developer to join our dynamic team. The ideal candidate should have a strong background in tool development, data science, and automation of complex tasks. You will be responsible for developing high volume regression dashboard, parametric and power tools and contributing to both front-end and back-end development.
Technical Skills:
Python: Proficiency in Python programming, including libraries like Pandas, NumPy, and SciPy for data science.
Full Stack Development: Experience with both front-end (HTML, CSS, JavaScript, React, Vue.js) and back-end (Django, Flask) technologies.
Tool Development: Ability to develop parametric and power tools, possibly using frameworks like Vue.js , PyQt or Tkinter for GUI development.
Data Science: Strong understanding of data analysis, machine learning (using libraries like scikit-learn, TensorFlow), and data visualization (using Matplotlib, Seaborn).
Automation: Experience in automating complex tasks using scripting and tools like Selenium, Airflow, or custom automation scripts.
Soft Skills:
Problem-Solving: Ability to tackle complex problems and develop innovative solutions.
Communication: Strong communication skills to effectively collaborate with team members and stakeholders.
Adaptability: Flexibility to adapt to new technologies and methodologies.
Experience:
Projects: Previous experience in developing tools and automation solutions.
Industry Knowledge: Familiarity with the specific industry or domain you're working in can be a plus.
Key Responsibilities:
Develop and maintain parametric and power tools using Python.
Design and implement automation solutions for complex tasks.
Collaborate with data scientists to analyze and visualize data.
Build and maintain web applications using Django or Flask.
Develop front-end components using HTML, CSS, JavaScript, and React.
Integrate third-party APIs and services.
Optimize applications for maximum speed and scalability.
Write clean, maintainable, and efficient code.
Troubleshoot and debug applications.
Stay updated with the latest industry trends and technologies.
Preferred Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field.
Previous experience in tool development and automation.
Familiarity with industry-specific tools and technologies.
Minimum Qualifications:
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