About the Role
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. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
Responsibilities
- Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies.
- Design, develop, and maintain software solutions for GenAI projects.
- Implement event-driven architectures to enable real-time data processing and analysis.
- Utilize containerization technologies like Kubernetes for efficient deployment and scalability.
- Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data.
- Utilize Python as the primary programming language for software development.
- Collaborate with data scientists, data engineers, and DevOps engineers to ensure smooth integration and deployment of GenAI models and applications.
- Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Document software engineering processes, methodologies, and best practices.
- Maintain solution architecture certificates and stay current with industry best practices.
Professional And Educational Background
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA