GenAI Data Engineer - Senior Associate

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a GenAI Data Engineer - Senior Associate, you will play a pivotal role in shaping the future of data engineering within our Technology Consulting practice. You will be at the forefront of data modernization, working closely with clients to transform their data landscapes and drive impactful insights. Your work will involve leveraging cutting-edge technologies and methodologies to design, build, and optimize data pipelines and architectures.

As a Senior Associate, you will focus on building meaningful client connections and developing a deeper understanding of the business context. You will be responsible for analyzing complex problems, mentoring others, and maintaining professional and technical standards. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn’t clear.

In this role at PwC Acceleration Center India, you will collaborate with a diverse team of professionals in the Data, Analytics & AI network. Your contributions will be integral to delivering innovative solutions that meet the evolving needs of our clients, while also enhancing your own professional growth and development.

Responsibilities

- Developing and managing data pipelines using Apache Airflow and Azure Data Factory to support data integration and transformation processes
- Implementing data architecture development and database optimization strategies to enhance data infrastructure and performance
- Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for scalable data engineering solutions
- Designing and maintaining data warehouses and data lakes to facilitate efficient data storage and retrieval
- Conducting data validation and quality checks to confirm data accuracy and reliability
- Building dimensional models and directed acrylic graphs (DAGs) to optimize data flow and analysis
- Collaborating with teams to develop data strategy and data anonymization techniques for secure data handling
- Performing database administration and security best practices to safeguard data assets
- Leveraging analytical thinking and creativity to address complex data challenges and drive innovation
- Engaging in query optimization and performance tuning to improve database efficiency and responsiveness

What You Must Have

- At least a Bachelor's degree
- At least 4years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in Amazon Web Services (AWS) and Microsoft Azure Databricks
- Utilizing Apache Hadoop and Apache Airflow for data processing
- Developing data architecture and data modeling strategies
- Implementing data anonymization and data security best practices
- Excelling in data pipeline and data integration techniques
- Navigating complex data engineering platforms and tools

Travel Requirements

Not Specified

Job Posting End Date