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Qualified Pipeline - Senior Backend Python Developer

Roles & Responsibilities

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • 5+ years of professional Python development experience, with at least 2 years in a senior role
  • Proficiency in Python 3.x and frameworks such as Django or Flask
  • Experience with databases (SQL and NoSQL) like PostgreSQL, MongoDB, etc., and RESTful APIs/microservices

Requirements:

  • Write high-quality, clean, and maintainable Python code to develop robust, scalable applications
  • Collaborate with product, engineering, and data teams to design scalable and reliable software systems
  • Mentor junior developers and promote best practices in Python development
  • Design, build, and maintain RESTful APIs and ensure code quality through testing and debugging

Job description

Qualified Pipeline - Senior Backend Python Developer
  • Location: remote, LATAM
  • Position Type: Contract, Long Term/Short Term
Position Summary:
Data Meaning is Leading Business Intelligence consulting company, an Alteryx Premier Partner, Tableau Partner, and a growing organization. We provide top consulting services to companies throughout the US, generating flexible solutions for our clients in the areas of Business Intelligence, Data Warehousing and Project Management.

Job Overview:
We are proactively building a Qualified Pipeline for highly skilled Senior Python Developers to join our growing team. The ideal candidate will be responsible for developing robust, scalable, and maintainable applications. You will work closely with our product, engineering, and data teams to deliver high-quality solutions using Python and other modern technologies. If you have a passion for solving complex problems, designing efficient systems, and are excited to mentor junior developers, we want to hear from you!

Key Responsibilities:
  • Software Development: Write high-quality, clean, and maintainable code using Python.
  • System Design: Collaborate with cross-functional teams to design scalable and reliable software systems.
  • Mentorship: Lead and mentor junior developers, guiding them through best practices in Python development.
  • Integration: Integrate user-facing elements with server-side logic, and create optimized, scalable code.
  • Testing and Debugging: Conduct code reviews, implement unit tests, and resolve bugs to ensure the robustness and security of applications.
  • API Development: Design, build, and maintain APIs to support both internal and external users.
  • Data Handling: Work with large datasets and integrate third-party services (e.g., databases, APIs).
  • Performance Optimization: Optimize applications for speed, scalability, and efficient memory usage.
  • Collaboration: Work closely with product managers, designers, and other engineers to deliver high-quality features.
  • Documentation: Maintain technical documentation for new and existing applications.
Requirements:
  • Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • Experience: 5+ years of professional experience in Python development, with at least 2 years in a senior role.
Core Skills:
  • Proficiency in Python 3.x and frameworks such as Django or Flask.
  • Experience with databases (SQL and NoSQL) like PostgreSQL, MongoDB, etc.
  • Experience in developing and working with RESTful APIs and microservices architecture.
  • Solid understanding of front-end technologies (HTML, CSS, JavaScript) is a plus.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Experience with version control systems (Git, GitHub/GitLab).
  • Strong knowledge of software development life cycle (SDLC) methodologies.
Soft Skills:
  • Strong communication skills, both verbal and written.
  • Problem-solving mindset with attention to detail.
  • Ability to work in a collaborative team environment and handle multiple projects.
Preferred Qualifications:
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Experience with event-driven architecture and message queues (e.g., RabbitMQ, Kafka).
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) or data analysis tools.
  • Experience with Agile development methodologies.

 

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