AWS (Redshift/Kinesis+Pyspark) - Associate 2

Overview

Support data engineering work focused on building data pipelines, data integration, and data transformation solutions within the Data and Analytics Engineering practice, using AWS services, Redshift, Kinesis, and PySpark on client projects.

What you'll do

• Build and maintain data pipelines using AWS services, Redshift, Kinesis, and PySpark to support client data modernization efforts
• Develop data ingestion, transformation, and load workflows that move information from source systems into analytics-ready environments
• Write and optimize PySpark code for scalable processing, data cleansing, and transformation tasks
• Support cloud-based data platform implementation by configuring storage, compute, and integration components across AWS environments
• Monitor pipeline performance, troubleshoot data flow issues, and refine jobs to improve reliability and processing speed
• Apply data quality checks, validation logic, and reconciliation steps to support accurate downstream reporting and analytics
• Collaborate with team members to document technical solutions, summarize progress, and communicate implementation details clearly
• Learn new tools, methods, and platform capabilities while contributing to delivery tasks in a fast-paced client setting

What you'll need

• At least a Bachelor's degree
• At least 3+ years of experience
• Oral and written proficiency in English

Nice to have

• 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

Details

• Location: Bangalore (SDC) - DLF Cyber City - Gurugram