Data Engineer II
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
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
- 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 non-relational databases / data stores (object storage document or key-value stores graph databases column-family 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.
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
- 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 non-relational databases / data stores (object storage document or key-value stores graph databases column-family 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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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