AWS (Redshift/Kinesis+Pyspark) - Associate 2

PwC; Gurugram District; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

PwC India Acceleration Center is hiring an AWS (Redshift/Kinesis+PySpark) Associate 2 to join the Data and Analytics Engineering practice. You will help design and build data infrastructure, create robust pipelines, and transform raw data into analytics-ready assets while learning and growing in a fast-paced client environment.

You will work on data ingestion, transformation, and loading workflows, optimize PySpark code for scalable processing, monitor pipelines, and apply quality checks.

Formación

• Bachelor's degree or higher in a relevant field.
• 3+ years of experience in data engineering or a related role.
• Proficiency in English (oral and written).

Responsabilidades

• Build and maintain data pipelines using AWS Redshift, Kinesis, and PySpark.
• Develop data ingestion, transformation, and load workflows.
• Write and optimize PySpark code for scalable processing.
• Configure and monitor cloud-based data platforms across AWS.
• Ensure data quality checks and reliable downstream reporting.
• Document solutions and communicate implementation details to the team.

Conocimientos

PySpark

AWS data services

Data pipelines

English proficiency

Educación

Bachelor's degree

Herramientas

AWS

Redshift

Kinesis

Descripción del empleo

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