Data Engineer, Shopping Foundation
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Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Our organization builds the data foundations that power the future of online shopping. With ever expanding selection and ambient computing looming on the horizon our mission is to build a new shopping experience beyond search & browse helping busy customers easily find low-regret products that meet their in-the-moment need. You will have opportunity to closely work with teams who are building Agentic AI powered CX.
An ideal individual is someone who has knowledge of ETL data modeling database architecture and big data solutions. This individual should have excellent written and verbal communication skills.
Key job responsibilities
- Were looking for an entry-level Data Engineer to implement data products and solutions that power our shopping platforms.
- You will work with senior engineers for building data products that power mission critical analytical reports and metrics for Amazon AI products.
- Youll develop data pipelines implement data quality checks and implement our engineering best practices.
- You will be building building scalable data systems using latest AWS technologies while maintaining high standards of data quality and reliability.
A day in the life
This data engineer designs builds and maintains scalable data pipelines that transform raw information into reliable high-quality datasets for analytics and machine learning. You will be participating in operational excellence mechanisms to ensure timely trustworthy data delivery to our customers.
About the team
Our organization builds the data foundations that power the future of online shopping. With ever expanding selection and ambient computing looming on the horizon its time to create a new shopping experience beyond search & browse helping busy customers easily find low-regret products that meet their in-the-moment need. Its time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products and to make it easy and natural for customers to discover those recommendations. We are seeking the industrys best to help us create new ways to interact search and shop.
- 2 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)
- Bachelors degree in Computer Science Computer Engineering Information Management Information Systems or other related discipline
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
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.
An ideal individual is someone who has knowledge of ETL data modeling database architecture and big data solutions. This individual should have excellent written and verbal communication skills.
Key job responsibilities
- Were looking for an entry-level Data Engineer to implement data products and solutions that power our shopping platforms.
- You will work with senior engineers for building data products that power mission critical analytical reports and metrics for Amazon AI products.
- Youll develop data pipelines implement data quality checks and implement our engineering best practices.
- You will be building building scalable data systems using latest AWS technologies while maintaining high standards of data quality and reliability.
A day in the life
This data engineer designs builds and maintains scalable data pipelines that transform raw information into reliable high-quality datasets for analytics and machine learning. You will be participating in operational excellence mechanisms to ensure timely trustworthy data delivery to our customers.
About the team
Our organization builds the data foundations that power the future of online shopping. With ever expanding selection and ambient computing looming on the horizon its time to create a new shopping experience beyond search & browse helping busy customers easily find low-regret products that meet their in-the-moment need. Its time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products and to make it easy and natural for customers to discover those recommendations. We are seeking the industrys best to help us create new ways to interact search and shop.
- 2 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)
- Bachelors degree in Computer Science Computer Engineering Information Management Information Systems or other related discipline
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
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
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
