AWS (Redshift/Kinesis+Pyspark) - Associate 2
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 26, 2026. PwC UK scores B on the Alion truth index.
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
AssociateJob 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 an AWS (Redshift/Kinesis+Pyspark) Associate 2 you will support data engineering work focused on building data pipelines, data integration, and data transformation solutions within our Data and Analytics Engineering practice. As an Associate you will focus on learning, contributing to client projects, adapting to varied client needs, and developing your technical skills while taking ownership of assigned tasks and delivering reliable work that supports team outcomes. In this role at PwC, you will help design and build data infrastructure and systems that turn raw data into usable insights, using AWS services, Redshift, Kinesis, and PySpark in a fast-paced environment while growing your understanding of how data engineering supports business decisions.
Responsibilities
- Building and maintaining data pipelines using AWS services, Redshift, Kinesis, and PySpark to support client data modernization efforts
- Developing data ingestion, transformation, and load workflows that move information from source systems into analytics-ready environments
- Writing and optimizing PySpark code for scalable processing, data cleansing, and transformation tasks
- Supporting cloud-based data platform implementation by configuring storage, compute, and integration components across AWS environments
- Monitoring pipeline performance, troubleshooting data flow issues, and refining jobs to improve reliability and processing speed
- Applying data quality checks, validation logic, and reconciliation steps to support accurate downstream reporting and analytics
- Collaborating with team members to document technical solutions, summarize progress, and communicate implementation details clearly
- Learning new tools, methods, and platform capabilities while contributing to delivery tasks in a fast-paced client setting
What You Must Have
- At least a Bachelor's degree
- At least 3+ 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
- Developing experience with AWS data services, including Redshift and Kinesis
- Applying PySpark for data transformation and pipeline development
- Gathering data from multiple sources and identifying patterns
- Adapting to client needs while supporting delivery tasks
- Listening actively, asking questions, and expressing ideas clearly
Travel Requirements
Not SpecifiedJob Posting End Date