Data Engineer, Seller Trust & Data Platform

Amazon Inc.; Seattle (WA); Presencial; USD 132.000 - 179.000; Jornada completa

Descripción de la vacante

Amazon.com Services LLC in Seattle, WA is seeking a Data Engineer to build scalable data pipelines and models that power decision making. You will architect ETL/ELT processes, partner with leaders, and mentor junior engineers in a fast-paced environment.

The ideal candidate has 3+ years in data engineering, strong SQL and data modeling skills, and experience with AWS data services. You will contribute to data governance, real-time analytics, and scalable solutions supporting Amazon's growth.

Formación

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience.
• 3+ years in the job offered or a related occupation experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• Experience with data modeling, warehousing and building ETL pipelines.

Responsabilidades

• Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
• Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.
• Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
• Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
• Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).
• Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.
• Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.
• Mentor junior engineers and contribute to team hiring and onboarding

Conocimientos

Data engineering

ETL/ELT

OLAP

SQL

Oracle

Data modeling

Educación

Bachelor's degree in CS/Engineering/IS/Math

Herramientas

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Descripción del empleo

Amazon.com Services LLC in Seattle, WA is seeking a Data Engineer to build scalable data pipelines and models that power decision making. You will architect ETL/ELT processes, partner with leaders, and mentor junior engineers in a fast-paced environment.

The ideal candidate has 3+ years in data engineering, strong SQL and data modeling skills, and experience with AWS data services. You will contribute to data governance, real-time analytics, and scalable solutions supporting Amazon's growth.