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Madrid - Madrid

Descripción de la oferta de empleo

Job summary
Amazon Transportation Services (ATS) is a the global middle-mile transportation organization within Amazon.
As part of the transportation, we ship several millions of packages every year to customer on time with high customer excellence.
In order to do that, the Data Technology and Products (DTP) team is the data engine behind the successful European operations, providing the data backbone in real time and batch fashion on large-scale cloud architectures.
The challenge for you would be to manage the huge amount of data that is produced every second and process it with the minimum lag to be made available as insights to the customers at the shortest time periods.
To understand more about the organization, please check out our YouTube video - https://www.

As a Data Engineer, you will help make Amazon the Earth’s Best Employer by improving the job experience for hundreds of thousands of our associates.
In this role, you will contribute to build infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and recent advances in distributed systems (Big Data Technologies).
You will work with passionate scientists, business intelligence engineers, software development engineers, product managers and business analysts, to design together and deliver a comprehensive set of stable and performant data architectures to build data stacks complementing software that powers the organization.
You are passionate about designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into other systems.
The role requires someone who loves data, has experience with enterprise information systems, has business sense, and is willing to learn and share knowledge within a team of passionate Data Engineers.

Key job responsibilities
· Being able to manage autonomously the full lifecycle of a data product.
understanding the need, designing the solution, building and supporting it´s growth.
· Being able to contribute to the team data engineering excellence by setting up new best practices and creating reusable products.
· Create secure, reliable, scalable and reusable products which work as pieces of a bigger vision
· Identify and keep relationships with internal and external partner teams to enrich our collection of data
· Collaborate with peers, ensuring your strategies align with partner development and business teams.
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Detalles de la oferta

  • Sin especificar
  • Sin especificar - Sin especificar
Fecha de publicación
  • 07/02/2022
Fecha de expiración
  • 26/07/2022
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