IN_Senior Associate__Full Stack Developer-- Data and Analytics_Advisory_Pan India

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

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.

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. "

Job Description & Summary: A career within PWC

Responsibilities

Job Title: Full Stack Developer (React, Node.js, Microservices)

Job Type: Full-Time

Job Overview: As a Full Stack Developer, you will be responsible for developing both the frontend and backend of scalable and performant applications. You will work on creating clean, maintainable, and efficient code, building microservices architecture, and integrating with third-party services. You will also contribute to system design and participate in architectural decisions, following best practices and design patterns.

Key Responsibilities

• Frontend: Develop user interfaces using React.js, ensuring responsiveness and cross-browser compatibility.
• Backend: Build and maintain server-side logic using Node.js and Express, ensuring scalability and performance.
• Microservices: Design and implement microservices-based architecture, ensuring robust, modular, and decoupled services.
• Design Patterns: Apply relevant software design patterns such as MVC, Singleton, Factory, Observer, and Dependency Injection to create maintainable, testable, and reusable code.
• API Integration: Develop RESTful APIs and integrate with third-party APIs, ensuring efficient and secure data exchange.
• Collaboration: Work closely with frontend and backend teams to ensure seamless integration of components and services.
• Testing & Quality Assurance: Write unit and integration tests for frontend and backend systems to ensure high-quality code.
• CI/CD: Participate in Continuous Integration and Continuous Deployment processes, ensuring smooth deployment pipelines.
• Documentation: Document code, architectures, and API endpoints for ease of use and future development.
  
  
  

Required Skills & Qualifications

• Strong proficiency in React.js and Node.js.
• Expertise with at least one Object Oriented JavaScript Framework (React, Angular, Ember, Dojo, Node etc.)
• Proficiency with Object Oriented Programming, multi-threading, data serialization and REST API to connect applications to back-end services.
• Proficiency in Docker, Kubernetes (k8s), Jenkins, and GitHub Actions is essential for this role.
• Proven cloud development experience AWS.
• Understanding of IT life cycle methodology & processes.
• Experience in understanding and Leading Enterprise Platform /Solutions
• Experience working with Microservices/Service Oriented Architecture Frameworks
• Good Understanding on Middleware technologies
• Experience with design patterns and software architecture best practices.
• Proficiency with databases like MongoDB, MySQL, or PostgreSQL.
• Solid understanding of RESTful services and API design.
• Familiarity with version control systems (Git) and Git workflows.
• Experience with testing frameworks (e.g., Jest, Mocha, Chai).
• Strong problem-solving skills and attention to detail.
• Good understanding of security practices, such as authentication, authorization, and data encryption.
• Experience with agile methodologies (Scrum, Kanban).
  
  
  

Preferred Skills

• Knowledge of GraphQL.
• Experience with Kubernetes and container orchestration.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with message brokers (e.g., Kafka, RabbitMQ).
• Knowledge of serverless architecture.
• Familiarity with frontend build tools (Webpack, Babel, etc.).
  
  
  

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 4-7 years of experience as a Full Stack Developer or in a similar role.
  
  
  

Mandatory Skill Sets

React.js and Node.js.

Preferred Skill Sets

React.js and Node.js.

Years Of Experience Required

4-7 years

Education Qualification

BE/BTECH, ME/MTECH, MBA, MCA

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

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

Degrees/Field Of Study Preferred

Certifications (if blank, certifications not specified)

Required Skills

Node.js

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date