Data Engineer II, Amazon Pay
Data Engineer II, Amazon Pay
Posted on :
23-05-2025
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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 highperformance and faulttolerant data pipeliens. As a Data Engineer you will be working with crossfunctional partners from Science Product SDEs Operations and leadership to translate raw data into actionable insights for stakeholders empowering them to make datadriven decisions.
Key job responsibilities
Design implement and support a platform providing adhoc 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 adhoc and prebuilt 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 selfservice support for customers
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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 highperformance and faulttolerant data pipeliens. As a Data Engineer you will be working with crossfunctional partners from Science Product SDEs Operations and leadership to translate raw data into actionable insights for stakeholders empowering them to make datadriven decisions.
Key job responsibilities
Design implement and support a platform providing adhoc 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 adhoc and prebuilt 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 selfservice support for customers
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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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