Key Responsibilities:

A Senior Software Engineer Python is a professional with extensive experience and expertise in Python programming language. They are responsible for designing, developing, and maintaining high-quality software applications using Python and related frameworks.

• Design, develop, and maintain robust and scalable software applications using Python and related technologies.

• Should be working on a start-up mode

• Help build a SaaS-based Data Fabric and Data Mesh platform that allows companies to seamlessly access, integrate, model, analyze, provision and monetize data.

• Must build the product from scratch.

•               Design, develop, and optimize Python-based applications, flows, and frameworks.
• Implement best practices across all phases of SDLC, including requirements analysis, design, coding, testing, and deployment.
• Collaborate with cross-functional teams (architecture, design, DV, and IT) to deliver scalable solutions.
• Develop scripts and automation flows to improve productivity and efficiency.
• Ensure code quality through reviews, unit tests, and integration tests.
• Maintain documentation for methodologies, workflows, and tools

• Design & Development:
• Develop end-to-end automation solutions using Python and RPA will be an addon.
• Collaborate with business to understand process workflows, requirements, and translate them into automation solutions.
• Build, test, and deploy processes and objects to automate business tasks.
• System Integration:
• Integrate automation  with other systems, applications, (e.g., SAP, legacy systems, web applications).
• Troubleshoot and resolve integration and system issues, ensuring smooth bot functionality and process execution.
• Support & Maintenance:
• Provide post-deployment support and maintenance for existing automation solutions.
• Monitor the performance of bots and address any issues or enhancements as required.

Key Requirements:

• Education:
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.

• Soft Skills:
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and in cross-functional teams.
• Strong attention to detail, especially when handling sensitive financial data.