Amazon

Data Engineer

Posted On

March 31, 2025

Location

Chennai, Tamil Nadu

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

April 22, 2025

Job Description

Want to participate in building the next generation of online payment system that supports multiple countries and payment methods?

Amazon Payment Services (APS) is a leading payment service provider in MENA region with operations spanning across 8 countries and offers online payment services to thousands of merchants. APS team is building robust payment solution for driving the best payment experience on & off Amazon.
Over 100 million customers send tens of billions of dollars moving at light-speed through our systems annually. We build systems that process payments at an unprecedented scale with accuracy, speed and mission-critical availability. We innovate to improve customer experience, with support for currency of choice, in-store payments, pay on delivery, credit and debit card payments, seller disbursements and gift cards. Many new exciting & challenging ideas are in the works.

A day in the life
Data Engineers focus on managing data requests, maintaining operational excellence, and enhancing core infrastructure. You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps

Key job responsibilities
Responsibilities

Data Analysis: Understand business processes, logical data models, relational database implementations, build data driven insights to improve payment processing

Reviews:Perform Code/design reviews and offer feedback on design, integration, performance and scalability issues.
Manage data infrastructure
Hands-on experience designing, developing, and maintaining data pipelines and
data integration solutions.

- 7+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

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