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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