Data Engineer — AWS Infra & Supply Chain Insights

Amazon Web Services (AWS); Austin (TX); 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 Data Services, Inc. is seeking a skilled Data Engineer to design, build, and maintain data infrastructure across AWS data services. You will collaborate with scientists, engineers, and analysts to deliver reliable datasets, scalable ETL pipelines, and high-quality data products that power business insights.

The role emphasizes building robust data architectures, data quality controls, and efficient storage strategies to support BI analytics and product development.

Formación

• 3+ years of data engineering experience.
• 1+ years of ETL/ELT for BI analytics.
• 1+ years of SQL experience.
• Bachelor's degree or foreign equivalent in CS/Engineering/IS/Math.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with at least one modern scripting language (Python/Java/Scala/NodeJS).

Responsabilidades

• Build and maintain infrastructure to answer data questions using data engineering best practices.
• Define data engineering processes leveraging AWS services for accessibility, redundancy, and cost.
• Develop scalable data solutions for product/model development.

Conocimientos

Data engineering

ETL/ELT

SQL

Data modeling

Warehousing

Python/Java/Scala/NodeJS

Educación

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

Herramientas

Redshift

S3

Glue

EMR

Kinesis

Firehose

Lambda

IAM

Non-relational databases

Descripción del empleo

Amazon Data Services, Inc. is seeking a skilled Data Engineer to design, build, and maintain data infrastructure across AWS data services. You will collaborate with scientists, engineers, and analysts to deliver reliable datasets, scalable ETL pipelines, and high-quality data products that power business insights.

The role emphasizes building robust data architectures, data quality controls, and efficient storage strategies to support BI analytics and product development.