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PwC

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3.4

based on 8.6k Reviews

1951 PwC Jobs

Gen Ai Data Engineer - Senior Associate

Pricewaterhouse Coopers Private Limited

3.4

based on 8.6k Reviews

3-5 years

₹ 4.8 - 33L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Gen Ai Data Engineer - Senior Associate

PwC

posted 9hr ago

Job Role Insights

Flexible timing

Key skills for the job

SQL Operations Auditing Mining Engineering Analytical Chemistry IT Business Analysis

+ 4 more

Job Description

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to

Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.

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, eventdriven archi tectures, 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 eventdriven architectures to enable realtime 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 , Semantic Kernel) for advanced language processing and analysis.

Collaborate with crossfunctional teams to design and implement solution architectures for GenAI projects.

Utilize cloud computing platforms such as Azure or AWS for data processing, storage, and deployment.

Monitor and troubleshoot data pipelines and systems to ensure smooth and uninterrupted data flow.

Stay uptodate with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data engineering processes.

Collaborate with crossfunctional teams to understand business requirements and translate them into technical solutions.

Document data engineering processes, methodologies, and best practices.

Maintain solution architecture certificates and stay current with industry best practices.

Requirements

Python Proficiency Minimum 3 years of handson experience building applications with Python.

Scalable System Design Solid understanding of designing and architecting scalable Python applications, particularly for Gen AI use cases, with a strong understanding of various components and systems architecture patterns to make cohesive and decoupled, scalable applications.

Web Frameworks Familiarity with Python web frameworks (Flask, FastAPI ) for building web applications around AI models.

Modular Design & Security Demonstrated ability to design applications with modularity, reusability, and security best practices in mind (session management, vulnerability prevention, etc.,).

CloudNative Development Familiarity with cloudnative development patterns and tools (e.g., REST APIs, microservices, serverless functions).

Cloud Deployments Experience deploying and managing containerized applications on Azure/AWS (Azure Kubernetes Service, Azure Container Instances, or similar).

Version Control (Git) Strong proficiency in Git for effective code collaboration and management.

CI/CD Knowledge of continuous integration and deployment (CI/CD) practices on cloud platforms.

35 years of relevant technical/technology experience, with a focus on GenAI projects.

Strong programming skills in Python.

Experience with data processing frameworks like Apache Spark or similar.

Proficiency in SQL and database management systems.

Preferred Skills

Gen AI Frameworks Experience with LLM frameworks or tools for interacting with LLMs such as LangChain , Semantic Kernel, LlamaIndex

Data Pipelines Experience in setting up data pipelines for model training and realtime inference.

Employment Type: Full Time, Permanent

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What people at PwC are saying

3.4

Rating based on 1.4k Senior Associate reviews

Anonymous · IT Security in Bengaluru

Likes

Salary benefits like Hike and Bonus components

Dislikes

During appraisal cycle there will lot questions on contributions to other initiatives in the company apart from Project. Sometimes to get good hike you have to work overtime on these initiatives

Read 1.4k reviews