Software Engineer

Job Description

1. Requirements Gathering & Business Analysis

- Work closely with business stakeholders to understand functional requirements, process flows, and system pain points.

- Document business requirements, user stories, acceptance criteria, and functional specifications.

- Analyse current processes and propose improvements or 1automation opportunities using Python or related technologies.

- Translate business needs into clear technical requirements for development.

- Support feasibility assessments, impact analysis, and effort estimation.

2. System Design & Solutioning

- Design technical solutions based on business requirements, ensuring scalability, performance, and maintainability.

- Participate in architecture discussions and contribute to solution design, especially involving Python-based components.

- Define data models, APIs, workflows, and integration points with other systems.

3. Python Development (preferred)

- Develop and maintain applications, scripts, automation tools, APIs, and backend components using Python.

- Implement business logic, data processing workflows, ETL routines, and integration modules.
- Ensure code quality through proper documentation, unit testing, and adherence to coding standards.

- Troubleshoot and resolve defects, performance issues, or enhancements.

4. Data Processing & Analytics (if applicable)

- Use Python for data extraction, transformation, validation, and reporting.

- Build data pipelines, dashboards, or analytics scripts to support business decision-making.

- Work with libraries such as Pandas, NumPy, SQLAlchemy, etc.

5. Testing & Quality Assurance

- Prepare and execute test plans, test cases, and user acceptance test (UAT) scenarios.

- Validate that the solution meets both business and technical requirements.

- Support stakeholders during UAT and resolve issues promptly.

6. Deployment & Support

- Assist with deployment activities, configuration changes, and go-live support.

- Provide post-implementation support and ensure issues are tracked to closure.

- Improve existing solutions through optimisation and enhancements.
7. Continuous Improvement

- Identify opportunities for process automation using Python scripts or frameworks.

- Recommend enhancements to existing systems or workflows.

- Keep abreast of new Python technologies, tools, and best practices to improve productivity.