Data Engineer: Deal Intelligence & Data Pipelines

Amazon Inc.; San Diego (CA); Presencial; USD 155.000 - 209.000; Jornada completa

Descripción de la vacante

Amazon Web Services, Inc. is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the organization.

You will design, build, and maintain pipelines, data models, and platforms enabling deal teams to access precise insights at scale, with high quality and speed. You will partner with product management and engineering to ensure data solutions integrate across GDSP tooling and leverage AWS services and generative AI to raise the

Formación

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.

Responsabilidades

• Build and maintain backend data infrastructure for analytical and visualization platforms, ensuring data is clean, fresh, and optimized for downstream consumption.
• Translate business problem statements into technical data requirements, partnering with product management and stakeholders to define what data products to build.
• Automate and optimize reporting processes to enable self-service analytics at scale, reducing manual effort and improving speed to insight.
• Develop measurement frameworks and metrics that quantify deal execution performance and operational health.
• Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources.
• Leverage AWS services and generative AI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities.

Conocimientos

5+ years data engineering

Data modeling

Warehousing

ETL pipelines

SQL

Python/Java/Scala/NodeJS

Mentoring

Herramientas

Hadoop

Hive

Spark

EMR

Descripción del empleo

Amazon Web Services, Inc. is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the organization.

You will design, build, and maintain pipelines, data models, and platforms enabling deal teams to access precise insights at scale, with high quality and speed. You will partner with product management and engineering to ensure data solutions integrate across GDSP tooling and leverage AWS services and generative AI to raise the