Data Engineer II, Intl. Seller Services

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.

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

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 or foreign equivalent in Computer Science Engineering Information Systems Mathematics or a related field
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 1 years developing and operating large-scale data structures for business intelligence analytics including each of: ETL/ELT processes OLAP technologies data modeling SQL and Oracle
- 3 years of non internship data engineering experience

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 132100.00 - 178800.00 USD annually