Data Engineer
Data Engineer
Posted on :
12-04-2025
Employer Active
1 Vacancy
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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 lightspeed through our systems annually. We build systems that process payments at an unprecedented scale with accuracy speed and missioncritical availability. We innovate to improve customer experience with support for currency of choice instore 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 nontechnical 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
Handson 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
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 lightspeed through our systems annually. We build systems that process payments at an unprecedented scale with accuracy speed and missioncritical availability. We innovate to improve customer experience with support for currency of choice instore 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 nontechnical 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
Handson 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
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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