App Automation Developer - Python

Job Description Role Summary As a Technical Business Analyst, you will be responsible for the end-to-end lifecycle of business process automation. You will identify bottlenecks by engaging with stakeholders and then design, develop, and deploy robust solutions using Python, SQL, and RPA tools (UiPath/Power Automate) . This role requires a strong foundation in Software Engineering principles (OOP) to ensure that our automations are not just "quick fixes," but scalable, professional-grade tools. Key Responsibilities 1. Technical Development (Python & SQL) Advanced Python Engineering: Build modular, reusable code applying Object-Oriented Programming (OOP) concepts such as inheritance, polymorphism, and classes. Data Orchestration: Create ETL pipelines to extract data from various sources (Databases, APIs, Excel) and push processed data back to production DBs using Pandas and NumPy . Quality & Testing: Implement a "test-first" culture by writing comprehensive unit tests using Pytest or Unittest , including parameterized testing for edge cases. API Integration: Develop and maintain interfaces that interact with internal and external web services via HTTP requests. 2. Intelligent Automation (RPA) Workflow Automation: Lead the development of complex automation workflows using UiPath (Advanced proficiency required) and Power Automate . Exception Handling: Ensure system resilience by implementing sophisticated debugging and error-handling constructs (try-except-else-finally). 3. Business Analysis & Stakeholder Management Requirement Engineering: Translate vague business needs into structured technical requirements and documentation. Stakeholder Bridge: Serve as the primary point of contact between technical teams and business units to ensure project alignment. Data Visualization: Use Matplotlib or similar libraries to present data insights that drive executive decision-making. Required Technical Profile Python Expertise (8/10): Deep knowledge of the standard library, data manipulation (Pandas), and professional debugging. RPA Mastery (8/10): Extensive experience in UiPath for UI-based automation and Power Automate for API/Cloud-based flows. Database Skills: Strong proficiency in SQL for complex data extraction and manipulation. Version Control: Professional experience using Git for code tracking, branching, and team collaboration. Design Patterns: Ability to apply basic architectural patterns to ensure code is clean and maintainable. Core Competencies Communication: Ability to articulate technical constraints to non-technical audiences clearly. Analytical Thinking: A natural curiosity for how business processes work and how they can be optimized through technology. Autonomy: Comfortable taking ownership of a project from the initial "Problem Statement" to the final "Deployment.