Data Engineer II – Build Scalable Pipelines & Insights

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

Descripción de la vacante

Amazon in Bellevue, WA is seeking a data engineer to design, build, and optimize scalable data pipelines, models, and analytics that empower business decisions across millions of users and products.

The role emphasizes developing and operating large-scale data structures, ETL/ELT processes, OLAP analytics, and data warehousing with AWS technologies. A strong foundation in data modeling and collaboration with business leaders is essential.

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.
• 3+ years of in the job offered or a related occupation experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes 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

Conocimientos

Data engineering

SQL

Data modeling

ETL/ELT

OLAP

Data warehousing

Big data

Educación

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

Herramientas

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Descripción del empleo

Amazon in Bellevue, WA is seeking a data engineer to design, build, and optimize scalable data pipelines, models, and analytics that empower business decisions across millions of users and products.

The role emphasizes developing and operating large-scale data structures, ETL/ELT processes, OLAP analytics, and data warehousing with AWS technologies. A strong foundation in data modeling and collaboration with business leaders is essential.