Hybrid IN-Associate_Automation Anywhere Developer_Advisory Corporate_Advisory_Bangalore at PwC

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

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:

• Design, develop, and implement automation solutions using Automation Anywhere.
• Collaborate with business analysts and stakeholders to understand automation requirements and translate them into technical specifications.
• Develop and maintain automation scripts and bots to optimize business processes.
• Troubleshoot and resolve issues related to automation solutions.
• Provide technical guidance and mentorship to junior developers.
• Conduct code reviews to ensure adherence to best practices and coding standards.
• Stay updated with the latest trends and advancements in automation technology.
• Participate in project planning, estimation, and risk management activities.

Requirements:

• 3+ years of experience in automation development, with a focus on Automation Anywhere.
• Proficiency in Automation Anywhere A360 and previous versions.
• Strong programming skills in languages such as Python, Java, or C#.
• Experience with RPA (Robotic Process Automation) tools and technologies.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Certification in Automation Anywhere is a must.

Mandatory skill sets:

Automation Anywhere A360, Python, Java, or C#, RPA (Robotic Process Automation)

Certification in Automation Anywhere is a must.

Preferred skill sets:

Ability to work independently and as part of a team

Years of experience required:

2 to 4 years

Education qualification:

Bachelor’s degree in computer science, Information Technology, or a related field.

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

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Automation Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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