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10 дней назад

Automation Engineer (RPA)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Automation Engineer (RPA) (UiPath/Python): Designing, developing, testing, and deploying RPA solutions for business operations with an accent on workflow automation, API integration, and reliable bot infrastructure. Focus on optimizing automation performance, adapting workflows to ERP and web platforms, and researching AI-driven intelligent automation technologies.

Location: Taipei, Taiwan; on-site

Company

Dun & Bradstreet provides business decisioning data and analytics that help organizations grow, manage risk, and innovate.

What you will do

  • Gather business requirements, identify automation opportunities, assess feasibility, and design optimized workflows.
  • Develop, test, and deploy automated solutions using RPA platforms such as UiPath or Power Automate.
  • Administer RPA infrastructure and server environments, monitor bot operations, troubleshoot issues, and optimize performance.
  • Adapt automation workflows to changes in ERP applications and web-based platforms while maintaining solution stability.
  • Create solution designs, user guides, operational procedures, and technical support documentation.
  • Manage implementation timelines, collaborate with stakeholders, deliver training, and evaluate emerging RPA, AI, and intelligent automation technologies.

Requirements

  • Hands-on experience with at least one leading RPA platform, such as UiPath or Power Automate.
  • Proficiency in C# or Python; strong Python development experience is highly preferred.
  • Experience with Visual Studio or VS Code, MSSQL, and ETL processes.
  • Strong understanding of XML, JSON, HTML, JavaScript, and REST APIs.
  • Experience integrating open-data and commercial APIs, reading API specifications, and using Postman for API testing.
  • Familiarity with Git, JIRA, and Confluence.

Culture & Benefits

  • Work within the Data & Analytics department and the Taiwan Delivery & Implementation team.
  • Collaborate with business and technical stakeholders through workshops and knowledge-sharing programs.
  • Contribute to continuous process improvement and the adoption of intelligent automation.

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