INManagerFull Stack Developer LeadData & AnalyticsAdvisoryGurgoan
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Job Summary
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob 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 forour 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 foreach 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary:
We are looking for Full Stack Developers and Full Stack Leads to build rapid prototypes and MVPs for business ideas using modern engineering practices and AI-assisted development tools. The role focuses on accelerating idea-to-prototype cycles building scalable web applications and enabling fast hypothesis validation.
Responsibilities:
Design develop and enhance full stack applications for rapid prototyping and MVP use cases; build responsive frontend applications using Angular and/or React; develop backend services APIs and microservices to support product features and integrations; work closely with product managers and business stakeholders to convert ideas into working prototypes quickly; leverage AWS and modern engineering practices to enable fast and efficient development; for lead roles guide technical design mentor developers and drive delivery quality and speed.
Mandatory skill sets:
Strong hands-on coding experience across frontend and backend technologies; experience in full stack development; strong expertise in Angular and React; experience building and integrating APIs; strong understanding of microservices architecture; experience with cloud platforms preferably AWS; ability to work in fast-paced prototype/MVP-driven environments.
Preferred skill sets:
Experience with AI-assisted / agentic coding tools such as Claude Code; exposure to rapid experimentation and hypothesis-driven product development; travel or aviation domain experience.
Years of experience required:
Developer: 57 years; Lead: 1012 years
Education qualification:
BE ME MBA MCA or equivalent qualification
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology Master of Engineering Master of Business Administration Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Microsoft Azure Microsoft Azure Analytics ServicesOptional 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 Development 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
May 14 2026Required Experience:
Manager
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
