PwC AWS Data Engineer

Job Overview

PwC is hiring an AWS Data Engineer in Bengaluru for its Data, Analytics & AI practice. The role focuses on large-scale data extraction, ingestion and processing using AWS services, SQL, ETL and reusable engineering scripts.

Eligibility

The official PwC posting lists 4-8 years of experience. Mandatory skills include AWS technologies such as EMR, Redshift, S3, Glue, Kinesis and Lambda, along with SQL, ETL and Python or Java. The stated qualification is Graduate Engineer or Management Graduate.

Skills Mentioned

Key Responsibilities

• 1Design and build distributed data extraction, ingestion and processing solutions
• 2Use AWS services including EMR, Redshift, S3, Glue, Kinesis and Lambda
• 3Write SQL and data-warehousing queries for analytics use cases
• 4Develop reusable scripts or programs using Python, Java or Unix shell
• 5Build and support ETL integrations and analytical data infrastructure
• 6Maintain technical documentation and support testing and defect resolution

Who Should Apply?

Experienced data engineers with 4-8 years of relevant experience and hands-on AWS, SQL and ETL skills are the intended audience for this posting.

Quick eligibility check

Eligibility at a Glance

These values come from the verified job record. Re-check the employer page before applying because requirements can change.

Role breakdown

What This Role Involves

The official listing is for AWS Data Engineer at PwC in Bengaluru Millenia, India. Based on the published information, the main areas to review include AWS EMR, Redshift, S3, Glue, Kinesis and Lambda, SQL, ETL, Python or Java.

• Design and build distributed data extraction, ingestion and processing solutions
• Use AWS services including EMR, Redshift, S3, Glue, Kinesis and Lambda
• Write SQL and data-warehousing queries for analytics use cases

Employer information

About PwC on This Listing

PwC is the employer named on the official source used for this job. HD Careers verified this listing against pwc.com. This section only shows facts available from the verified job record.

No other active listings from this company are currently published on HD Careers.

Resume & interview focus

Skills to Demonstrate

Use these as evidence prompts, not as keywords to add without real experience.

• AWS EMR, Redshift, S3, Glue, Kinesis and Lambda

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• SQL

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• ETL

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Python or Java

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Data warehousing

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

Preparation

Before You Apply

• 1Review your hands-on examples for AWS EMR, Redshift, S3, Glue, Kinesis and Lambda, SQL, ETL.
• 2Prepare one clear example related to this responsibility: Design and build distributed data extraction, ingestion and processing solutions.
• 3Keep your employment dates, degree details and contact information consistent across your resume and the employer application form.
• 4Use the official employer page as the final source if any requirement, deadline or application step changes.

Common questions

Job FAQ

HD Careers original resources

Useful Before You Apply

Source & Verification

Source: Official PwC Workday careers page

Last checked by HD Careers: 29 Sep 2026

Job information can change after publication. The employer's official page is the final source for eligibility, deadlines and application availability.

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