Hybrid work from Northampton:
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)
