Data Engineer I, Amazon Pay
Data Engineer I, Amazon Pay
Posted on :
29-05-2025
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1 Vacancy
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Job Description
Over the past 20 years Amazon has earned the trust of over 300 million customers worldwide by providing unprecedented convenience selection and value on . By deploying Amazon Pays products and services merchants make it easy for these millions of customers to safely purchase from their third party sites using the information already stored in their Amazon account.
In this role you will lead Data Engineering efforts to drive automation for Amazon Pay organization.
You will be part of the data engineering team that will envision build and deliver high-performance and fault-tolerant data pipeliens. As a Data Engineer you will be working with cross-functional partners from Science Product SDEs Operations and leadership to translate raw data into actionable insights for stakeholders empowering them to make data-driven decisions.
Key job responsibilities
Design implement and support a platform providing ad-hoc access to large data sets
Interface with other technology teams to extract transform and load data from a wide variety of data sources
Implement data structures using best practices in data modeling ETL/ELT processes and SQL Redshift and OLAP technologies
Model data and metadata for ad-hoc and pre-built reporting
Interface with business customers gathering requirements and delivering complete reporting solutions
Build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Build and deliver high quality data sets to support business analyst data scientists and customer reporting needs.
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
- 1 years of data engineering experience
- Experience with SQL
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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.
In this role you will lead Data Engineering efforts to drive automation for Amazon Pay organization.
You will be part of the data engineering team that will envision build and deliver high-performance and fault-tolerant data pipeliens. As a Data Engineer you will be working with cross-functional partners from Science Product SDEs Operations and leadership to translate raw data into actionable insights for stakeholders empowering them to make data-driven decisions.
Key job responsibilities
Design implement and support a platform providing ad-hoc access to large data sets
Interface with other technology teams to extract transform and load data from a wide variety of data sources
Implement data structures using best practices in data modeling ETL/ELT processes and SQL Redshift and OLAP technologies
Model data and metadata for ad-hoc and pre-built reporting
Interface with business customers gathering requirements and delivering complete reporting solutions
Build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Build and deliver high quality data sets to support business analyst data scientists and customer reporting needs.
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
- 1 years of data engineering experience
- Experience with SQL
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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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