Data Engineer, Data Technology and Products
DESCRIPTION
The Amazon Transportation Services (ATS) Data Technology and Products team is seeking a skilled and motivated Data Engineer to join our team in Luxembourg.
We are looking for:
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
Do you want to know how it feels to contribute directly to the success of a business? Do you enjoy learning and innovating? Are you interested in getting to know Amazon Transportation Services?
Come work with us.
Key job responsibilities
• 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
• Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem
• 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
About the team
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. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.
Inclusive Team Culture: Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.
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. Our business is growing fast, and our people grow with it.
BASIC QUALIFICATIONS
- 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)
PREFERRED QUALIFICATIONS
- 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.