AWS Architect Data Engineering Redshift Glue PySpark - Senior Associate

PwC; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

PwC Acceleration Center India in Bangalore is hiring a Senior Associate AWS Architect Data Engineer to design and build cloud data pipelines using Redshift, Glue, and PySpark. You will analyze complex problems, manage workstreams, mentor juniors, and deliver data-driven insights for diverse client engagements.

You will collaborate with advisory, assurance, tax, and business service teams, translate business needs into technical requirements, and apply critical thinking to enable informed

Qualifications

• Must have a Bachelor's degree in a relevant field.
• 5+ years of hands-on data engineering experience.
• Proficient in English (oral and written).

Responsibilities

• Designing and building cloud-based data pipelines using AWS services, Redshift, Glue, and PySpark.
• Transforming raw data into curated datasets that support reporting, analytics, and downstream application use.
• Developing data integration and transformation workflows across source systems, storage layers, and analytics platforms.
• Creating scalable data models and warehouse structures to support performance, availability, and reuse.
• Tuning SQL, Spark, and ETL processes to improve processing speed and reduce data latency.
• Applying data quality checks, validation logic, and reconciliation steps across engineering deliverables.
• Troubleshooting pipeline failures, data inconsistencies, and platform issues across cloud environments.
• Collaborating with client teams to gather technical requirements, translate business needs, and shape delivery plans.
• Reviewing work products for accuracy and mentoring junior team members on engineering methods and delivery practices

Skills

Data engineering

ETL design

SQL & Spark

Mentoring

English communication

Education

Bachelor's degree

Tools

AWS Redshift

AWS Glue

PySpark

Job description

Job Description:

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

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 Architect Data Engineering Senior Associate you will design and build data pipelines, integration patterns, and transformation solutions using Redshift, Glue, and PySpark within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client relationships, and mentor junior team members while using critical thinking to turn data into insights that support informed decisions and business growth. In this role at PwC Acceleration Center Bangalore, you will contribute to cloud-based data architecture, work through ambiguous requirements, and apply technical skills to deliver dependable solutions across client engagements.

Responsibilities

• - Designing and building cloud-based data pipelines using AWS services, Redshift, Glue, and PySpark
• - Transforming raw data into curated datasets that support reporting, analytics, and downstream application use
• - Developing data integration and transformation workflows across source systems, storage layers, and analytics platforms
• - Creating scalable data models and warehouse structures to support performance, availability, and reuse
• - Tuning SQL, Spark, and ETL processes to improve processing speed and reduce data latency
• - Applying data quality checks, validation logic, and reconciliation steps across engineering deliverables
• - Troubleshooting pipeline failures, data inconsistencies, and platform issues across cloud environments
• - Collaborating with client teams to gather technical requirements, translate business needs, and shape delivery plans
• - Reviewing work products for accuracy and mentoring junior team members on engineering methods and delivery practices

What You Must Have

• - At least a Bachelors degree
• - At least 5+ 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
• - Demonstrating AWS data engineering experience across Redshift, Glue, and PySpark
• - Utilizing data modernization skills for cloud-based analytics platforms
• - Applying ETL, data modeling, and data pipeline development knowledge
• - Interpreting data to inform recommendations for client engagements
• - Mentoring junior team members while navigating complex project work

Travel Requirements

Not Specified