Summary The Chance 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 an AI Advanced Analytics - Senior Associate, you will play a pivotal role in driving data engineering initiatives within our Data and Analytics Engineering group. You will be at the forefront of transforming complex data into actionable insights, supporting our clients in making informed decisions. Within our Cloud Engineering, Data & Analytics network, you will leverage your skills to deliver impactful solutions that align with our strategic objectives. As a Senior Associate, you will develop meaningful client connections and anticipate their needs, while navigating complex situations with confidence. You will guide and mentor junior team members, fostering an environment of growth and learning. Your ability to analyze intricate problems and maintain professional standards will be crucial in delivering quality work and enhancing your personal brand. In this role at PwC Acceleration Center India, you will collaborate with multidisciplinary teams to design and implement data-driven solutions. Your contributions will be integral to our mission of delivering exceptional client service and advancing our capabilities within the Platform Engineering & Architecture competency. This opportunity offers a dynamic environment where you can expand your technical skills and build lasting relationships with clients and colleagues alike.
Responsibilities - Developing and managing data pipelines using Apache Airflow and Azure Data Factory to support AI-driven analytics solutions
- Implementing data architecture development and optimization strategies to enhance data integration and transformation processes
- Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for scalable data engineering and analytics platform deployment
- Building and maintaining data warehouses and lakes, confirming data quality and validation across diverse datasets
- Conducting database administration and optimization, including query optimization and performance tuning for MySQL and PostgreSQL
- Designing dimensional modeling and Snowflake schema structures to support advanced analytics and reporting
- Collaborating with cross-functional teams to address data challenges and drive innovative solutions in data engineering
- Applying analytical thinking and intellectual curiosity to solve complex data problems and improve data strategy initiatives
- Confirming database security best practices and data anonymization techniques to protect sensitive information What You Must Have - At least a Bachelor's degree
- At least 4 years 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
- Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for data engineering
- Developing data architecture and integration strategies for complex analytics projects
- Implementing data warehouse indexing and troubleshooting for optimized performance
- Excelling in analytical thinking and problem-solving within data-driven environments
- Navigating ambiguity and embracing change in dynamic client engagements
- Mentoring junior team members in data engineering methodologies and practices