Assurance - Financial Market – Data Engineer – Associate

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 Engineer Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, 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.

As an Associate, you will be driven by curiosity and contribute to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will be expected to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.

In this role at PwC Acceleration Center India, you will adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering quality work that drives value for our clients and success as a team.

Responsibilities

Designing and implementing data pipelines to facilitate efficient data processing and analysis

Developing data integration and transformation solutions using platforms like Apache Airflow and Azure Data Factory

Building scalable data infrastructure to support complex data engineering tasks

Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for cloud-based data solutions

Applying data architecture development techniques to enhance data quality and validation processes

Optimizing database performance through query optimization and database management systems

Collaborating with team members to address data challenges and drive business growth

Engaging in active listening and accepting feedback to improve personal and team performance

Adopting agile scalability practices to adapt to changing client needs and project scopes

Upholding professional standards and the Firm's code of conduct in all data engineering activities

What You Must Have

At least a Bachelor's degree

Oral and written proficiency in English required

What Sets You Apart

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics

Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks

Developing data pipelines and data integration solutions

Implementing data warehouse indexing and troubleshooting

Excelling in data architecture development and optimization

Applying agile scalability in data engineering projects

Demonstrating intellectual curiosity and adaptability in fast-paced environments

Employment type: Full-time

Job function: Information Technology

Industries: Professional Services