PricewaterhouseCoopers

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: A career within PWC

Responsibilities:

Job Overview

We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies.

Key Responsibilities

• Develop and maintain web applications using Angular/React.js, .NET, and Python.
• Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications.
• Implement security best practices for data in transit and rest. Authentication best practices – SSO, OAuth 2.0 and Auth0.
• Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK
• Leverage Agentic frameworks like Crew AI, Autogen etc.
• Well versed with RAG and Agentic Architecture.
• Strong in Design patterns – Architectural, Data, Object oriented
• Leverage azure serverless components to build highly scalable and efficient solutions.
• Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint.
• Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems.

Primary Skills

• Proficiency in React.js, .NET, and Python.
• Strong knowledge of Azure Cloud Services, including serverless architectures and data security.
• Experience with Python Data Analytics libraries:
• pandas
• NumPy
• scikit-learn
• Matplotlib
• Seaborn
• Experience with Python Generative AI Frameworks:
• Langchain
• LlamaIndex
• Crew AI
• AutoGen
• Familiarity with REST API design, Swagger documentation, and authentication best practices.

Secondary Skills

• Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration.
• Knowledge of Power BI for data visualization (preferred).

Preferred Knowledge Areas – Nice to have

• In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms.

Mandatory skill sets:

AI, ML

Preferred skill sets:

AI, ML

Years of experience required:

3-7 years

Education qualification:

BE/BTECH, ME/MTECH, MBA, MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration, Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Game AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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