Data Platform Engineer — Trusted, Scalable Pipelines

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

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) matching

Paid time off

Parental leave

Descripción de la vacante

Amazon.com Services LLC is seeking an exceptional Data Engineer to build scalable data models and robust ETL pipelines that power business decisions. You will partner with software engineers, product managers, and analytics teams to unify fragmented data sources and ensure data quality.

The role emphasizes big data, data modeling, and OLAP warehousing, with opportunities to mentor teammates and shape data platforms for real-world operations.

Formación

• 3+ years in data engineering with BI analytics focus.
• Experience building and operating large-scale data structures and ETL/ELT pipelines.
• Experience with data modeling, warehousing, and OLAP technologies.

Responsabilidades

• Architect scalable data pipelines and data models for analytics.
• Unify fragmented data pipelines and ensure reliable data lineage.
• Collaborate with engineers, product managers, and analytics teams.
• Lead design reviews and enforce data governance standards.
• Build batch and real-time data processing capabilities.
• Coach junior engineers and contribute to hiring.

Conocimientos

Data engineering

SQL

Data modeling

OLAP

Warehousing

Big data

ETL/ELT processes

Educación

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field

Herramientas

Oracle

AWS (Redshift)

ETL/ELT tooling

Descripción del empleo

Amazon.com Services LLC is seeking an exceptional Data Engineer to build scalable data models and robust ETL pipelines that power business decisions. You will partner with software engineers, product managers, and analytics teams to unify fragmented data sources and ensure data quality.

The role emphasizes big data, data modeling, and OLAP warehousing, with opportunities to mentor teammates and shape data platforms for real-world operations.