Data & Backend Engineer (Full Stack) – Senior Associate

Overview

Design and develop data solutions that turn raw information into usable insights for client needs, drawing on full stack engineering across data pipelines, backend services and analytical tooling, as a Senior Associate in PwC's Acceleration Center India.

What you'll do

• Analyze client data and business requirements to design data science and backend solutions that support informed decision-making.
• Build and maintain data pipelines, models and application components across analytics and engineering workstreams.
• Develop exploratory analysis, statistical modeling and data visualizations to translate complex findings into clear recommendations.
• Apply programming languages, cloud technologies and data engineering methods to improve data flow, processing and accessibility.
• Review technical deliverables for accuracy, consistency and alignment with project objectives and professional standards.
• Collaborate with client stakeholders to gather requirements, clarify priorities and adapt work as project needs change.
• Mentor junior team members by sharing technical guidance, reviewing assigned tasks and supporting delivery across workstreams.
• Identify opportunities to improve data quality, automation and workflow efficiency across analytics solutions.

What you'll need

• At least a Bachelor's degree.
• At least 4 years of experience.
• Oral and written proficiency in English.

Nice to have

• Proven experience in backend and data engineering.
• Skilled in Python, PySpark and SQL programming.
• Hands-on experience with RESTful and GraphQL APIs.
• Ability to develop front-end applications using ReactJS.
• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering.
• Demonstrating proficiency in data engineering and data science workflows.
• Utilizing programming languages such as C++, R and MATLAB.
• Applying machine learning techniques and predictive modeling.
• Leveraging experience with data pipelines and data lakes.
• Excelling in complex data analysis and statistical analysis.
• Navigating AI-driven automation and cognitive solutions.

Details

• Location: Hyderabad.
• Travel requirements: Not specified.
• Job posting end date: October 17, 2026.