Key Responsibilities:

• Develop, test, and maintain scalable Python applications.
• Design and implement efficient data analytics solutions to extract insights from large datasets.
• Collaborate with cross-functional teams to develop and enhance web applications using Django and Flask.
• Integrate third-party APIs and tools to extend functionality and improve system performance.
• Provide support and troubleshooting for Python-based systems.
• Optimize code for performance, scalability, and maintainability.
• Participate in code reviews, ensuring adherence to best practices and standards.
• Document processes, solutions, and code.
• Engage in system design, architecture, and technical discussions to deliver robust solutions.
• Work closely with business analysts and stakeholders to understand and implement business requirements.

Required Skills & Experience:

• 5 to 7 years of professional experience in Python development.
• Proven experience with Data Analytics and the ability to work with large datasets and perform data manipulation.
• Expertise in Django and Flask for building web applications.
• Strong understanding of RESTful APIs and microservices architecture.
• Familiarity with database systems (e.g., PostgreSQL, MySQL, MongoDB) and experience writing complex SQL queries.
• Solid experience with Git for version control and collaboration.
• Strong understanding of object-oriented programming (OOP) principles and design patterns.
• Experience with data visualization tools like Matplotlib, Seaborn, or other relevant libraries is a plus.
• Ability to work in an Agile environment and collaborate with cross-functional teams.

Nice to Have:

• Experience in the banking or financial services sector.
• Exposure to cloud platforms like AWS, Azure, or GCP.
• Knowledge of containerization tools like Docker and orchestration with Kubernetes.
• Experience with Pandas, NumPy, and other Python libraries for data processing.
• Familiarity with DevOps principles and CI/CD pipelines.