Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

& 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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. * Why PWCAt 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 usAt 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. "

& Summary:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisationsin order tokeep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine toleveragedata, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

• Design, develop, test, andmaintainfull-stack web applications covering front-end, back-end, database, and API integrations.

• Build andmaintainRESTful web services and APIs with proper documentation (Swagger).

• Develop scalable microservices using Node.js and Express.js with robust error handling and logging.

• Implement responsive, cross-browser compatible UI components using modern JavaScript frameworks.

• Integrate applications with cloud platforms such as AWS and/or Azure.

• Perform unit testing for both front-end and back-end components to ensure code quality and reliability.

• Collaborate with cross-functional teams to deliver high-quality, secure, and performance-optimized solutions.

• Manage data storage solutions using relational and/or NoSQL databases.

Mandatory skill sets:

 Experience 8+ years of hands-on experience in full-stack development.

 Front-end

• React (mandatory)

• JavaScript, HTML, CSS

• Redux

• Bootstrap / Material UI / Ant Design

• Responsive Web Design

• MVC framework

• Cross-browser compatibility handling

 Back-end

• Node.js (mandatory)

• Express.js

• Microservice Architecture

• RESTful API development

• Swagger documentation

• Error handling and logging libraries

 Database

• MySQL

• NoSQL databases

 Cloud

• AWS and/or Azure

 Testing

• Unit Testing Frameworks (front-end and back-end)

 DataFormats

• JSON, XML

 Tools

• GitHub (version control)

Preferred skill sets:

• Experience with Angular as anadditionalfront-end framework

• Exposure to advanced cloud-native services and deployments

• Performance optimization, security best practices, and scalability experience

• CI/CD pipeline familiarity

• Experience working in Agile/Scrum environments

Years of experiencerequired

8+ years of Full Stack Development experience

Education qualification:

BE,B.Tech, ME,M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Full Stack Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 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

May 28, 2026