• Develop Python solutions to extract, transform, and standardize data from raw files in various formats (PDF, Excel, HTML, etc.).
• Analyze and interpret payer-specific file structures and implement transformation logic to produce required output files.
• Utilize Microsoft Graph, OneDrive, SharePoint, Azure Functions, and Azure Durable Functions to automate file retrieval, processing, and distribution.
• Modify and extend existing automation frameworks to support new payers, business rules, and reporting requirements.
• Collaborate with business analysts and stakeholders to understand requirements and implement process improvements.

Job Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
• 2-4 years of experience in Python development, automation, or data processing.
• Experience working with financial data, reconciliation processes, or business workflow automation is preferred.
• Familiarity with Azure services or similar cloud-based automation platforms is an advantage.

Required Technical Skills

• Strong proficiency in Python for data processing and automation.
• Experience with pandas, openpyxl, and Excel file manipulation.
• Experience processing and transforming data from PDF, Excel, HTML, CSV, and other structured or semi-structured file formats.
• Familiarity with Microsoft Graph API, OneDrive, and SharePoint Online integrations.
• Experience with Azure Functions, Azure Durable Functions, Azure Logic Apps and workflow automation concepts.
• Ability to implement business rules, lookups, calculations, and data validation logic.
• Strong analytical, troubleshooting, and problem-solving skills.
• Hands-on experience with Git, Azure Pipelines, and infrastructure deployment automation.