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OnsiteSeniordata infra

Sr Data Engineer II, IES CFX & Prime

AmazonBengaluru, Karnataka, IndiaPosted 18 May 2026

Amazon is hiring a Senior Data Engineer for its Customer Fulfillment Experience & Prime team to build next-generation AI-first big data platforms. The role involves designing and supporting scalable data pipelines, optimizing data models, and delivering BI solutions that impact customer browsing behaviors. Candidates are expected to have strong experience with AWS technologies and large-scale data systems. This position focuses on sustained operational excellence and technical innovation at global scale.

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Experience

5+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 1

What you will work on

Amazon is hiring a Senior Data Engineer for its Customer Fulfillment Experience & Prime team to build next-generation AI-first big data platforms. The role involves designing and supporting scalable data pipelines, optimizing data models, and delivering BI solutions that impact customer browsing behaviors. Candidates are expected to have strong experience with AWS technologies and large-scale data systems. This position focuses on sustained operational excellence and technical innovation at global scale.

TAL's take

Quality 90/1005/5 clarityTier 1 company

Exceptional role at a tier-1 company, providing deep data engineering ownership at massive scale within the Prime team.

The JD provides a very clear definition of the data engineering responsibilities, the technology stack, and the team context.

Salaries at Amazon

25.8 LPA average

Based on 3,341 Grapevine salary entries for Amazon.

View all salaries

Engineering

0 - 2 years | L3

16 LPA average

Range: 2 - 32 LPA

Engineering

2 - 4 years | L4

26 LPA average

Range: 0 - 100 LPA

Engineering

4 - 6 years | L5

33 LPA average

Range: 2 - 66 LPA

Engineering

6 - 8 years | L4

43 LPA average

Range: 5 - 91 LPA

Must haves

  • 5+ years of data engineering experience
  • 5+ years developing/operating large-scale data structures for BI using ETL/ELT
  • 5+ years analyzing and interpreting data with Redshift, Oracle, or NoSQL
  • Track record of manipulating/extracting value from large datasets
  • Experience building large-scale, high-throughput, 24x7 data systems

Tools and skills

awsredshiftoraclenosqletlelt

About the company

Amazon is a FAANG member and a global tier 1 company.

Posts mentioning Amazon