Software Engineer

Job Description:

• - 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.

• - 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.

• -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.

• - 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.

• -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.

• - 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.

• -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.