Data Engineer

2 months ago

London, United Kingdom Amazon Full time

Data Engineer, Data Technology and Products
The Amazon Transportation Services (ATS) Data Technology and Products team is seeking a skilled and motivated Data Engineer to join our team in Luxembourg.
A candidate who wants to be an integral part of our team to support our expanding ATS business through innovation
A candidate who is committed to create solutions that meet high quality standards
A candidate who wants to embrace new technologies and challenges for professional growth
Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems
• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
• Monitor and troubleshoot operational or data issues in the data pipelines
Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems. We’re looking for Data Engineer to join one of our many lines of business and support their growth.
Work/Life Balance: Our team puts a high value on work-life balance. Mentorship & Career Growth: We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we'll help you get there. Experience in data engineering
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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