Power Automation Engineer

A. What Youll Do

• Analyze current business processes across departments and identify automation opportunities.
• Design low-code/no-code solutions and code-based automation using Power Platform (Power Apps, Power Automate).
• Develop Power Platform customizations in Microsoft Dynamics 365 F&O, particularly in the HR module.
• Integrate data and workflows across systems such as SharePoint, SQL Server, ERP, and custom APIs.
• Implement robust, secure, and scalable process automation flows within Microsoft Power Platform.
• Monitor, maintain, and optimize deployed automations for performance, reliability, and compliance.
• Document automation designs, flow logic, and dependencies for operational continuity.
• Collaborate with developers, QA engineers, DevOps, and business teams to ensure seamless process delivery.
• Apply logging, exception handling, and notification techniques to ensure business continuity.
• Evaluate and integrate AI-powered services such as Microsoft AI Builder, Azure Cognitive Services, or OpenAI APIs into automated workflows.

B. What You Know

• Must have at least 8 years of total experience, with a minimum of 5 years in workflow and process automation using Microsoft Power Platform.
• Strong hands-on experience in Power Automate and Power Apps development.
• Experience in developing Power Platform customizations in Microsoft Dynamics 365 F&O, especially within the HR module.
• Solid understanding of REST APIs, Webhooks, JSON, and HTTP methods, including authentication mechanisms such as OAuth2.
• Experience working with SharePoint, Microsoft SQL Server, and Dataverse for business applications.
• Ability to understand, document, and optimize business processes for automation.
• Experience working with Logic Apps, Azure Functions, or custom workflow engines like Elsa Workflows is a plus.
• Knowledge of DevOps CI/CD pipelines and version control tools such as Git and Azure DevOps.
• Exposure to AI integration using Microsoft AI Builder, Azure Cognitive Services, or OpenAI APIs.
• Understanding of RPA tools and Dataverse data modeling concepts.
• Experience in the Oil & Gas sector is considered an advantage.

C. Education

Bachelors degree in Computer Science, Information Systems, Engineering, or a related field is required.