Senior Data Engineer

IN_Manager_Full Stack Python/Node JS_Data & Analytics_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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:

We are looking for a Data Engineer with strong expertise in SQL Server, Data Warehousing, SSIS, and Data Modeling, combined with hands-on experience in AI/LLMs, especially for enabling agentic AI capabilities within reports, portals, and data products. This role involves designing scalable data pipelines, modernizing legacy systems, and integrating AI-driven components that enhance automation, insights, and user experience. 

Responsibilities 

• Design, develop, and maintain full-stack web applications using Python for backend services and React for frontend user interfaces, ensuring seamless integration between client and server components. • Collaborate with cross-functional teams including product managers, designers, and other engineers to translate business requirements into technical specifications and deliverable solutions. • Architect and implement RESTful APIs and microservices using Python frameworks, while creating responsive and interactive user interfaces with React components and state management. • Conduct thorough code reviews, mentor junior developers, and establish best practices for code quality, testing, and deployment processes within the development team. • Optimize application performance by identifying bottlenecks, implementing caching strategies, and ensuring scalability across both frontend and backend systems. • Debug and troubleshoot complex technical issues across the full technology stack, providing timely resolutions to maintain system reliability and user experience. • Participate in agile development processes including sprint planning, daily standups, and retrospectives while managing multiple projects and delivering features within established timelines. • Maintain comprehensive technical documentation for developed features, APIs, and system architecture to facilitate knowledge sharing and future maintenance efforts.

Mandatory skill sets:

• Python, React

Preferred skill sets:

Data Engineer, Python

Years of experience required:

4+ years

Education qualification:

B.Tech

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

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

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 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

January 30, 2026

Experience Level

Mid Level