Python Developer

Design, develop, and maintain Python scripts for data processing and transformation.

Work extensively with Pandas and NumPy for data analysis and manipulation.

Work experience in file processing libraries and other python libraries.

Work extensively with testing frameworks (unittest / pytest).

Manage structured and unstructured file handling using CSV, JSON, XML, and APIs.

Collaborate with data analysts, data engineers, and other developers on project requirements.

Develop and optimize algorithms for efficiency and scalability.

Perform testing (unit testing, regression testing) to ensure high-quality software delivery.

Proficiency in Python programming.

Knowledge of file handling techniques in Python.

Excellent analytical and problem-solving abilities.

Good understanding of data structures and algorithms.

Effective communication skills, both written and verbal.

Ability to work independently and collaboratively in a team environment.

Desirable skills/Preferred Qualifications:

Experience with Jupyter Notebooks or similar data science environments.

Familiarity with databases (SQL/NoSQL).

GIT/Any other version control tool & Sonarcube

Understanding of SDLC/Agile methodology/Scrum/Agile Central/JIRA

Easily adaptable to changes - work demands / schedules / management