Industry/Sector
Not Applicable
Specialism
Platform Engineering & Architecture
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 effective data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
GenAI Data Engineer - Senior Associate (PwC US AC)
PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Engineer to join our team at Senior Associate level. As a GenAI Data Engineer, you will be responsible for developing and maintaining data pipelines, implementing machine learning models,



and optimizing data infrastructure for our GenAI projects. The ideal candidate should have a strong background in data engineering, with a focus on GenAI technologies, and possess a solid understanding of data processing, event-driven architectures, containerization, and cloud computing.
Responsibilities
Design, develop, and maintain data pipelines and ETL processes for GenAI projects.
Collaborate with data scientists and software engineers to implement machine learning models and algorithms.
Optimize data infrastructure and storage solutions to ensure efficient and scalable data processing.
Implement event-driven architectures to enable real-time data processing and analysis.
Utilize containerization technologies like Kubernetes and Docker for efficient deployment and scalability.
Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data.
Implement and integrate LLM frameworks (Langchain, Seman

📌 Data Engineer (Bengaluru)
🏢 PwC
📍 Bengaluru