Technical Skills/Competencies
- Python:
- 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.
- Translate analytical requirements into technical solutions and document workflows.
Essential Skills/Basic Qualifications
- 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
- Candidate availability within reasonable time (good to have as soon as possible)