Python Developer

As a Python Developer at Arcot Group, your primary responsibilities will include developing and maintaining backend services, collaborating with product managers to understand project requirements, writing maintainable code, debugging and optimizing existing code for performance improvements, and integrating data storage solutions like PostgreSQL and MongoDB.

To qualify for the Python Developer role at Arcot Group, candidates should hold a Bachelor's degree in Computer Science, Software Engineering, or any related field. Proven experience in a similar role and a strong knowledge of Python frameworks such as Django or Flask are essential, along with familiarity with RESTful APIs and web services.

As a Python Developer at Arcot Group, you should be proficient in Python programming and familiar with Python frameworks such as Django or Flask. Additionally, having knowledge of front-end technologies like HTML, CSS, JavaScript, and experience with database management systems will be highly beneficial.

At Arcot Group, the work environment for a Python Developer is collaborative and tech-savvy. You will be part of a team that values continuous learning, participation in code reviews, and staying updated with emerging technologies, ensuring that your contributions are always at the forefront of industry best practices.

Arcot Group is committed to supporting the professional growth of its employees. As a Python Developer, you'll have opportunities to participate in team learning sessions, engage in code reviews, and attend training on emerging technologies, facilitating your development and advancement in the field.

In response to this question, highlight specific projects you've worked on using either Django or Flask. Discuss how you applied their features to build robust applications and mention any challenges you overcame during development, showcasing your problem-solving skills.

To effectively answer this question, consider discussing methods such as code profiling to identify bottlenecks, utilizing efficient algorithms, and implementing caching strategies. Providing examples from previous experiences where you applied these techniques will strengthen your response.

When asked about RESTful APIs, summarize your involvement in creating or consuming APIs in previous projects. Discuss how you structured your API requests and any tools you used to test them, emphasizing your understanding of REST principles and best practices.

Answering this question, mention coding standards such as adhering to PEP 8 in Python, utilizing meaningful variable names, and writing modular code. Providing examples of how you implemented these practices in past projects will demonstrate your commitment to maintainability.

A thorough answer would include discussing techniques you employ for debugging, such as using IDE tools or logging, and the testing frameworks you've used (like unittest or pytest). Illustrate your point with examples of specific bugs you've fixed and tests you've designed.

In your response, share specific resources you utilize such as blogs, forums, online courses, or community meetups. Express your passion for continuous learning and how it has influenced your work as a Python Developer.

When responding to this question, choose a project that highlights your skills in problem-solving and innovation. Outline the challenges you faced, the steps you took to address them, and the outcome, ensuring to express what you learned through the experience.

Discuss your perspective on code reviews, emphasizing the importance of collaboration and learning. Mention how you both contribute and receive feedback, providing examples of how this has improved your coding practices or team dynamics.

Here, elaborate on any time management tools or techniques you utilize, such as task prioritization, Agile methodologies, or tools like JIRA. Describe how you ensure that deadlines are met without compromising quality.

In your answer, discuss critical features such as user authentication, data validation, security measures, and performance optimizations. Use examples from past projects to illustrate your understanding of building comprehensive web applications.