IN-Senior Associate UiPath Developer Advisory Corporate Advisory Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Responsibilities:

1. Solution Design & Development

• Analyze business processes to identify automation opportunities and assess feasibility.

• Design, develop, and deploy UiPath-based automation solutions that are scalable and efficient.

• Build reusable components, accelerators, and frameworks for process automation.

• Develop custom activities using UiPath Studio, UiPath Orchestrator, and UiPath Assistant.

• Implement error handling, exception management, and logging mechanisms.

• Work with APIs, web services, and databases to enhance automation capabilities.

2. Process Assessment & Optimization

• Collaborate with business teams and SMEs to understand requirements and translate them into technical automation solutions.

• Perform process mining and task analysis to identify inefficiencies.

• Optimize existing automation workflows to enhance performance and reliability.

3. Orchestration, Deployment & Monitoring

• Configure, manage, and maintain UiPath Orchestrator for bot deployment, scheduling, and monitoring.

• Monitor bot performance, identify issues, and implement continuous improvements.

• Integrate automation solutions with ITSM tools, logging frameworks, and analytics dashboards.

4. Governance, Compliance & Best Practices

• Ensure compliance with RPA governance, security, and IT policies.

• Maintain proper documentation, including PDD (Process Design Document) and SDD (Solution Design Document).

• Conduct code reviews and peer reviews to ensure adherence to UiPath best practices.

• Implement CI/CD pipelines for RPA deployments.

5. Mentorship & Stakeholder Collaboration

• Provide technical mentorship to junior developers and RPA CoE teams.

• Work closely with business analysts, IT teams, and end-users to align automation solutions with business objectives.

• Train end-users and support teams on managing and troubleshooting UiPath bots.

Process & Domain Knowledge

• Strong understanding of RPA best practices, process optimization, and automation methodologies.
• Exposure to BPM (Business Process Management) tools and process mining.
• Experience working in Agile (Scrum/Kanban) environments.
• Industry experience in domains like Banking, Finance, Healthcare, Retail, or Manufacturing is a plus.

Soft Skills & Collaboration

• Excellent analytical and problem-solving skills.
• Strong communication skills to interact with stakeholders, business teams, and IT.
• Ability to mentor and guide junior developers in best practices.
• Self-driven with a proactive approach to troubleshooting and continuous learning.

Mandatory skill sets:

• 4-7 years of hands-on experience in UiPath development.
• Strong proficiency in UiPath Studio, UiPath Orchestrator, UiPath Assistant.
• Experience with AI/ML models, Document Understanding, and OCR technologies (e.g., ABBYY, Google Vision, Tesseract, or Microsoft Cognitive Services).
• Expertise in C#, VB.NET, Python, SQL, JavaScript (for custom activity development).
• Experience integrating UiPath bots with REST APIs, SOAP, and web services.
• Familiarity with queue management, unattended/attended bots, and REFramework.
• Experience with CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) for RPA deployments.
• Knowledge of Azure, AWS, or Google Cloud platforms for cloud-based automation.

Certification:

UiPath Advanced Developer Certification (UiARD) – Strongly Preferred

Preferred skill sets:

Preferred Certifications:

UiPath RPA Associate (UiRPA) – Good to Have.

ITIL, Agile, or PMP certifications – Added Advantage

Years of experience required:

4 to 7 years

Education qualification:

Graduate Engineer or Management Graduate

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

UiPath

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date