Vellore, Tamil Nadu, India
Information Technology
Full-Time
PwC India
Overview
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
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.
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.
Job Description & Summary: A career within PWC
Responsibilities:
Job Title: Full Stack Developer (React, Python, Microservices)
Location: Bengaluru
Job Type: Full-Time
Job Overview: As a Full Stack Developer, you’ll be responsible for designing, developing, and maintaining both frontend and backend systems. Your work will involve implementing a microservices architecture, designing scalable solutions, and integrating third-party services. You’ll also help ensure the maintainability of code by applying best practices and design patterns.
Key Responsibilities
React, Python
Preferred skill sets:
React, Python
Years of experience required:
2-6 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, Master of Engineering, Bachelor of Technology, Bachelor of Engineering
Degrees/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), Apache Hadoop, Azure Data Factory, Communication, 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, Data Warehouse, Data Warehouse Indexing {+ 13 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
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
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.
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
Job Description & Summary: A career within PWC
Responsibilities:
Job Title: Full Stack Developer (React, Python, Microservices)
Location: Bengaluru
Job Type: Full-Time
Job Overview: As a Full Stack Developer, you’ll be responsible for designing, developing, and maintaining both frontend and backend systems. Your work will involve implementing a microservices architecture, designing scalable solutions, and integrating third-party services. You’ll also help ensure the maintainability of code by applying best practices and design patterns.
Key Responsibilities
- Frontend: Develop and maintain dynamic and responsive user interfaces using React.js, following best practices for modern web development.
- Backend: Write server-side logic and services using Python (Django/Flask/FastAPI) to build scalable and performant APIs and applications.
- Microservices: Design, implement, and deploy microservices-based solutions that are modular, scalable, and fault-tolerant.
- Design Patterns: Use established design patterns (e.g., Singleton, Factory, Strategy, Observer, etc.) to design reusable, maintainable, and scalable code.
- API Development: Build and integrate RESTful APIs and third-party services, ensuring they’re efficient, secure, and reliable.
- Database Management: Work with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases, ensuring efficient data access and storage.
- Code Quality: Write clean, well-documented, and testable code. Implement unit, integration, and end-to-end tests to ensure reliability and maintainability.
- CI/CD: Implement and manage continuous integration and continuous deployment pipelines to automate testing and deployment processes.
- Collaboration: Work closely with UI/UX designers, product managers, and other developers to ensure alignment with product requirements and project goals.
- Documentation: Maintain high-quality documentation for APIs, services, and architectural decisions to ensure clarity and transparency within the team.
- Proficient in React.js and modern JavaScript frameworks.
- Solid experience with Python, particularly in web frameworks like Django, Flask, or FastAPI.
- Expertise with at least one Object Oriented JavaScript Framework (React, Angular, Ember, Dojo, Node etc.)
- Good to have hands-on experience in Python development
- 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 building and deploying microservices architecture.
- Strong understanding of design patterns and software architecture principles.
- Hands-on experience with RESTful APIs and integrating third-party services.
- Familiarity with containerization technologies like Docker.
- Proficiency with databases such as PostgreSQL, MySQL, or MongoDB.
- Strong understanding of version control systems, particularly Git.
- Experience with unit testing and integration testing frameworks (e.g., PyTest, Jest, Mocha).
- Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
- Ability to troubleshoot complex problems and think critically about software design.
- Experience with GraphQL or similar query languages.
- Familiarity with message brokers like RabbitMQ or Kafka.
- Experience working with container orchestration tools like Kubernetes.
- Knowledge of frontend build tools like Webpack and Babel.
- Experience with agile software development practices (Scrum/Kanban).
- Familiarity with CI/CD tools like Jenkins, GitLab CI, or CircleCI.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 2-6 years of experience as a Full Stack Developer or in a similar role.
React, Python
Preferred skill sets:
React, Python
Years of experience required:
2-6 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, Master of Engineering, Bachelor of Technology, Bachelor of Engineering
Degrees/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), Apache Hadoop, Azure Data Factory, Communication, 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, Data Warehouse, Data Warehouse Indexing {+ 13 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
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