About the role

You will design and develop robust data solutions to transform raw data into actionable insights while leveraging advanced analytics and statistical techniques. Additionally, you will build and maintain data pipelines and collaborate with clients to solve complex business problems.

What they look for

Data Engineering Backend Engineering Python PySpark SQL C++ R RESTful APIs GraphQL ReactJS Machine Learning Data Visualization Statistical Modeling Predictive Modeling Data Pipelines Data Lakes

Requirements

Candidates must hold at least a Bachelor's degree and possess a minimum of 4 years of relevant experience. Proficiency in backend and data engineering, along with skills in Python, PySpark, and SQL, is required.

Full description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Data & Backend Engineer (Full Stack) – Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and become more aware of your strengths. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use these moments as opportunities to grow, asking questions when the path forward isn’t clear.

In this role at PwC Acceleration Center India, you will leverage your skills to deliver high-quality work, using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. You will develop a deeper understanding of the business context and how it is changing, interpreting data to inform insights and recommendations.

Responsibilities

- Designing and developing robust data solutions to transform raw data into actionable insights - Leveraging advanced analytics and statistical techniques to extract insights from large datasets - Conducting exploratory and descriptive analysis to solve complex business problems - Creating data visualizations to inform strategic decisions and drive business growth - Utilizing programming languages such as C++ and R for data modeling and predictive modeling - Implementing machine learning algorithms and neural networks to enhance data-driven decision making - Building and maintaining data pipelines and data lakes to support data engineering processes - Collaborating with clients to understand their needs and deliver tailored data solutions - Applying critical thinking to break down complex concepts and generate new ideas - Upholding professional and technical standards while interpreting data to inform insights and recommendations

What You Must Have

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

What Sets You Apart

- 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

Travel Requirements

Not Specified

Job Posting End Date