Software Engineer
Obligatoriu:PythonBackend
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, SQL Alchemy , 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.