IN_Senior Associate – AWS Data Engineer – Data and Analytics – Advisory – Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job 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 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 an experienced AWS Data Engineer with strong expertise in SQL, Python, and PySpark to design, build, and optimize scalable data ingestion and ETL/ELT pipelines. The role requires hands-on experience with AWS services such as Glue, Step Functions, Lambda, and DMS, along with a strong understanding of data engineering best practices, production readiness, and high-volume data processing.

Responsibilities:

• Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.

• Implement direct-to-Aurora ingestion strategies for snapshots and delta loads.

• Ensure referential integrity, correct processing order, idempotency, and recovery mechanisms.