Data Engineer II, Intl. Seller Growth

Come be part of Amazons International Seller Services (ISS) Central Analytics Data Engineering team where we tackle modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.

We are a team of Data Engineers supporting Applied Scientists Data Scientists and Economiststurning machine learning deep learning and AI research into scalable products that delight our customers worldwide.

About the Role

ISS is seeking a highly motivated experienced Data Engineer to help design and build the next generation of Data and ML infrastructure to power GenAI applications.

Key job responsibilities

As a Data Engineer you will provide technical leadership lead data engineering initiatives and build end-to-end analytical solutions that are highly available scalable stable secure and cost-effective.

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 large-scale high-volume high-performance 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

• Bachelors degree
• 3 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 large-scale 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.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Department / Functional Area : Data Engineering

Experience : years

Vacancy : 1