Data Engineer II: Growth & Onboarding Platform

Amazon.com Services LLC; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Engineer to design and maintain scalable data architectures, ETL pipelines, and data models. You will collaborate with BI Engineers, Data Scientists, and peer teams to enable insights about learning and growth across Amazonians.

The role involves building end-to-end data solutions, owning design, development, documentation, testing, and operations for a greenfield platform with executive visibility.

Qualifications

• 3+ years of data engineering experience
• 1+ years building and operating large-scale BI data structures
• 1+ years of OLAP tech experience
• 1+ years of data modeling experience
• 1+ years of SQL experience
• 1+ years of Oracle experience
• 3+ years in the job or related occupation
• Bachelor's degree or foreign equivalent in CS/Engineering/IS or related field
• Experience with data modeling, warehousing and ETL pipelines

Responsibilities

• Gather business and functional requirements and translate into robust, scalable data architecture.
• Contribute to architecture and implementation of next generation data solutions from the ground up.
• Manage AWS resources including S3, Athena, Batch, Lambda, etc.
• Optimize automated processes for performance and fault tolerance.
• Support ad-hoc analysis across various data sources.
• Collaborate with BI Engineers, Software Engineers, and cross-functional teams to deliver data architecture and pipelines.
• Make large data sets accessible and usable by applications and teams.

Skills

Data modeling

ETL/ELT

SQL

OLAP

Oracle

Education

Bachelor's degree in CS/Engineering/IS

Tools

AWS

Redshift

S3

Lambda

Job description

Amazon.com Services LLC is seeking a Data Engineer to design and maintain scalable data architectures, ETL pipelines, and data models. You will collaborate with BI Engineers, Data Scientists, and peer teams to enable insights about learning and growth across Amazonians.

The role involves building end-to-end data solutions, owning design, development, documentation, testing, and operations for a greenfield platform with executive visibility.