Data Engineer I, Intl. Seller Growth
Data Engineer I, Intl. Seller Growth
Posted on :
06-05-2025
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1 Vacancy
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Job Description
Come and be part of the International Seller Services (ISS) Central Analytics Data Engineering (DE) team and work on solving problems!
We are a team of DEs who support Applied Scientists Data Scientist and Economists who experiment research and turn machine/deep learning and AI research into great products for our customers.
ISS is seeking a smart highlymotivated and experienced Data Engineer to join our team. In this role youll help us create the right Data and ML infrastructure.
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build endtoend analytical solutions that are highly available scalable stable secure and costeffective.
You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.
You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
Key job responsibilities
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build endtoend analytical solutions that are highly available scalable stable secure and costeffective.
You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.
You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
Design implement and operate largescale highvolume highperformance data structures for analytics and data science.
Implement data ingestion routines using best practices in data modeling ETL/ELT processes by leveraging AWS technologies and big data tools.
Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
Collaborate with engineers to help adopt best practices in data system creation data integrity test design analysis validation and documentation
Identify opportunities in existing data solutions for improvements
1 years of data engineering experience
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)
Knowledge of writing and optimizing SQL queries in a business environment with largescale complex datasets
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.
We are a team of DEs who support Applied Scientists Data Scientist and Economists who experiment research and turn machine/deep learning and AI research into great products for our customers.
ISS is seeking a smart highlymotivated and experienced Data Engineer to join our team. In this role youll help us create the right Data and ML infrastructure.
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build endtoend analytical solutions that are highly available scalable stable secure and costeffective.
You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.
You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
Key job responsibilities
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build endtoend analytical solutions that are highly available scalable stable secure and costeffective.
You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.
You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
Design implement and operate largescale highvolume highperformance data structures for analytics and data science.
Implement data ingestion routines using best practices in data modeling ETL/ELT processes by leveraging AWS technologies and big data tools.
Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
Collaborate with engineers to help adopt best practices in data system creation data integrity test design analysis validation and documentation
Identify opportunities in existing data solutions for improvements
1 years of data engineering experience
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)
Knowledge of writing and optimizing SQL queries in a business environment with largescale complex datasets
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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