Responsibilities:

• Design, develop, and maintain robust Python applications for data analysis and manipulation.
• Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
• Utilize NumPy and Pandas to clean, preprocess, and analyze large datasets for meaningful insights.
• Optimize and enhance existing data processing pipelines for improved efficiency and scalability.
• Work closely with data scientists and analysts to implement data-driven solutions.
• Ensure code quality, reliability, and maintainability through code reviews and best practices.
• Mentor junior developers and contribute to a culture of continuous learning and improvement.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 6 years of professional experience as a Python developer, with a focus on data analysis.
• Proven expertise in NumPy and Pandas for data manipulation and analysis.
• Strong proficiency in Python and its associated libraries for web development and data processing.
• Experience with database systems, such as SQL, and data visualization tools like Matplotlib or Seaborn.
• Solid understanding of software development best practices, version control, and testing methodologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with machine learning frameworks such as scikit-learn or TensorFlow.
• Knowledge of cloud platforms such as AWS or Azure.
• Familiarity with agile development methodologies.
• Active participation in the open-source community or contributions to relevant projects.