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PwC

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3.4

based on 9.2k Reviews

Video summary

2530 PwC Jobs

Gen Ai Data Engineer - Manager

Pricewaterhouse Coopers Private Limited

3.4

based on 9.2k Reviews

8-13 years

Bangalore / Bengaluru

1 vacancy

Gen Ai Data Engineer - Manager

PwC

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Software Configuration Management Python SQL Cloud Computing Auditing IT Business Analysis

+ 1 more

Job Description

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

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

Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
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.

8+ 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

3.1

Rating based on 22 Data Engineer reviews

Anonymous · Data Science & Analytics in Kolkata

Likes

Pro: 1. Excellent team culture, always appreciative and friendly environment 2. Flexible work hours. No strict timings. 3. Hybrid mode of work. 2-3 days in office / week.

Skill development - Excellent

+3 more

Dislikes

Cons: 1. Poor appraisals and promotions 2. Too much approvals and MBA controlled, no freedom to explore as a technical person. 3. People have almost zero technical knowledge. Specially the mid level.