UI Path RPA Developer

Overview

On Site
$60,000+
Full Time

Skills

RPA
UiPath
Automation Anywhere
Blue Prism
Python & C++
Java
Business Process Analysis
Data Analytics
Aws & Azure
Process Mining
DOM
Testing & Debugging
CI/CD
SQL

Job Details

Technical Skills:
  • RPA Platform Expertise:
    Developers need to be proficient in using at least one RPA platform like UiPath, Automation Anywhere, or Blue Prism.
  • Programming Languages:
    While RPA is low-code, understanding programming concepts and languages like Python, C++, and Java is beneficial for more complex automation scenarios.
  • Business Process Analysis:
    Analyzing and understanding business processes to identify automation opportunities is a core skill.
  • Data Analytics:
    RPA involves working with data, so knowledge of data manipulation, analysis, and potentially databases (like SQL) is important.
  • Cloud Computing:
    Understanding cloud platforms like AWS, Azure, or Google Cloud can be helpful for scalable RPA implementations.
  • Process Mining:
    Understanding how to use process mining tools to analyze workflows and identify areas for improvement is a valuable skill.
Soft Skills:
  • Problem-Solving:
    RPA projects often encounter unexpected issues, so strong problem-solving skills are essential for debugging and finding solutions.
  • Communication:
    RPA developers need to communicate effectively with stakeholders, explain technical concepts clearly, and manage expectations.
  • Collaboration:
    Working with other developers, business analysts, and end-users requires strong teamwork and collaboration skills.
  • Strategic Planning:
    Developing effective RPA solutions requires strategic thinking and planning to align automation with business goals.
  • Analytical Thinking:
    The ability to analyze information, identify patterns, and draw conclusions is crucial for designing efficient automation.
  • Attention to Detail:
    Even small errors in RPA implementation can cause significant issues, so attention to detail is a must.
  • Change Management:
    Understanding how to manage the changes associated with implementing RPA solutions is important for user adoption and success.
Other Important Aspects:
  • Understanding of the Document Object Model (DOM):
    Knowledge of how web pages are structured is helpful for web automation.
  • Testing and Debugging:
    Developing and maintaining RPA bots requires robust testing and debugging skills.
  • Documentation:
    Creating clear and concise documentation for the automated processes is crucial for maintainability.
  • Continuous Learning:
    RPA is a rapidly evolving field, so staying up-to-date with the latest trends and technologies is important.
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