IN_Senior Associate_React Full Stack Developer_Data

About

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 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 maintain applications using .NET technologies (C#, ASP.NET, .NET Core, etc.). or Node JS or Java
• Build and optimize analytics platforms that support large-scale data processing and reporting.
• Write clean, maintainable, and efficient code while adhering to best practices and coding standards.
• Troubleshoot and resolve technical issues and bugs as they arise.
• Collaborate with the product and platform teams to ensure seamless integration of new features and analytics tools.
• Contribute to the development of APIs and microservices for real-time data processing and analytics.
• Experience in building platforms and products that support data and analytics capabilities.
• Proficiency in developing RESTful APIs and microservices architecture.
• Solid understanding of object-oriented programming, design patterns, and software architecture principles.
• Experience with databases such as SQL Server, PostgreSQL, or other relational and NoSQL databases.
• Experience with front-end technologies (e.g., JavaScript, Angular, React) is also mandatory.

Mandatory Skill Sets

• .Net, or Node or Java
• SQL
• React

Preferred Skill Sets

• .Net, or Node or Java
• SQL
• React

Years of Experience

• 3-10 Years

Educational Qualification

• BE, B.Tech, MCA, M.Tech

Degrees/Field of Study Required

• Bachelor of Technology
• MBA (Master of Business Administration)

Required Skills

• Full Stack Development
• React.js

Optional Skills

• Accepting Feedback
• Accepting Feedback
• Active Listening
• Agile Scalability
• Amazon Web Services (AWS)
• Analytical Thinking
• Apache Airflow
• Apache Hadoop
• Azure Data Factory
• 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
• Data Pipeline
• {+ 27 more}

Job Posting End Date

• April 14, 2026