Data Engineer - AWS

KPMG · Audit & Assurance Firms · Financial Advisory, Valuation & Restructuring · Python · SQL · Tableau · ETL/ELT · Informatica · 3 days ago

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Salary

≈ $21k – $46k per year (Estimated)

Location

In office (Bengaluru, Gurgaon, Mumbai)

Experience

5+ years exp

First seen by Alion on Oct 25, 2026. KPMG scores B on the Alion truth index.

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KPMG

KPMG is a global professional services network headquartered in Amstelveen, Netherlands, and formed in 1987 through the merger of Peat Marwick International and Klynveld Main Goerdeler. The network provides audit and assurance, tax, and advisory services including deal advisory, risk consulting, and technology implementation. It is one of the Big Four accounting organisations, operating as a cooperative of legally separate member firms in more than 140 countries.

home.kpmg · HQ: Amstelveen, Netherlands · Management Consulting · Financial Advisory, Valuation & Restructuring · Tax Advisory & Preparation · Audit & Assurance Firms · Est. 1987

Tech stack of KPMG

Backed by Dozen

We are seeking a highly skilled Data Engineer with strong expertise in ETL, Data Warehousing, and AWS Cloud technologies The ideal candidate will design, develop, and optimize data pipelines, ensuring scalable and efficient data solutions across the organization.

Responsibilities:

Design and implement ETL workflows using Informatica PowerCenter and other modern tools.
Build and maintain data warehouses leveraging AWS Redshift and Glue.
Develop scalable data pipelines using Python and PySpark.
Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
Ensure data integrity, performance optimization, and security compliance in all cloud-based solutions.
Provide clear documentation and communicate technical concepts effectively to both technical and non-technical stakeholders.

Requirements:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
5+ years of experience in data engineering, ETL, and cloud-based solutions.
Proven track record of delivering scalable and efficient data pipelines.

Required Skills (Non-Negotiable):

SQL, Data Warehousing and ETL expertise.
Informatica PowerCenter hands-on experience.
AWS Cloud proficiency.
Strong knowledge of Redshift and Glue.
Programming skills in Python and PySpark.
Excellent communication and soft skills.

Preferred Skills (Good to Have):

Experience with other AWS services: Lambda, S3 Athena, DynamoDB.
Familiarity with dbt for data transformations.
Exposure to Tableau or other BI tools for visualization.

Skills

AWS, ETL, PySpark, Python

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