AI Led Data Engineering (Kinesis+ Redshift + Glue +PySpark) - Manager

Overview

Lead AI-driven data engineering workstreams for clients within PwC's Advisory practice, designing and building data infrastructure, pipelines and transformation solutions on AWS.

What you'll do

• Lead data engineering workstreams across cloud-based platforms and advanced analytics solutions
• Manage client deliverables, timelines and budgets for data pipeline and data integration projects
• Design and build scalable data infrastructure using AWS, Kinesis, Redshift, Glue and PySpark
• Develop batch and streaming pipelines that support data transformation, validation and loading
• Oversee data architecture, modeling and warehouse design for modernized data environments
• Review technical deliverables to validate data quality, performance tuning and secure handling of data
• Coach team members on engineering methods, delivery planning and use of automation tools
• Identify opportunities to improve data modernization strategies through cloud migration and platform optimization

What you'll need

• At least a Bachelor's degree
• At least 9+ 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
• Leading AI-driven data engineering initiatives across Kinesis, Redshift, Glue and PySpark
• Managing client-facing data modernization workstreams with cloud-native platforms
• Translating system dependencies into scalable data architecture decisions
• Mentoring teams in data pipeline design, testing and performance tuning
• Coordinating Agile delivery across multiple stakeholders and timelines

Details

• Location: Bangalore (SDC), P S Srijan Tech Park, Kolkata
• Travel requirements not specified