Requirements

Expected technologies

Python

Flask

Django

SQL

AWS Cloud

Docker

Kubernetes

Matplotlib

Seaborn

Tableau

Optional technologies

scikit-learn

TensorFlow

Our requirements

• Required:
• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in Python development, with a strong understanding of Python frameworks (e.g., Flask, Django).
• Experience with data manipulation libraries such as Pandas and NumPy.
• Familiarity with database technologies (SQL and NoSQL) and experience with data modeling.
• Knowledge of version control systems, particularly Git, and familiarity with CI/CD practices.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Preferred:
• Experience with cloud platforms (e.g., AWS Cloud) and related services.
• Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Understanding of data visualization tools and libraries (e.g., Matplotlib, Seaborn, Tableau).
• Knowledge of machine learning concepts and libraries (e.g., scikit-learn, TensorFlow) is a plus.

Your responsibilities

• Software Development
• Design, develop, and maintain scalable and efficient Python applications for data processing and analysis.
• Write clean, maintainable, and well-documented code that adheres to industry best practices.
• Data Integration
• Collaborate with data engineers and data scientists to integrate data from various sources into applications.
• Implement ETL (Extract, Transform, Load) processes to ensure data quality and accessibility.
• API Development
• Develop and maintain RESTful APIs to facilitate data access and integration with other systems.
• Ensure APIs are secure, efficient, and well-documented for internal and external users.
• Testing and Quality Assurance
• Write unit tests and conduct code reviews to ensure code quality and reliability.
• Identify and fix bugs and performance issues in existing applications.