Business Intelligence Engineer
Luxembourg, LU
il y a 1j

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.

We are looking for a Business Intelligence Engineer to be a part of Amazon Customer Fulfillment Operations Finance BI team.

Are you passionate about big data and analytics? Does working in one of the world’s largest data environment excite you?

Do you want to be a critical part of a high-growth business that is fundamentally changing an industry? Rapidly increasing data volume and complexity makes this a constant challenge and therefore an exciting place to work in!

In this role, you will develop and maintain the analytic technologies that give our teams flexible and structured access to their data, helping us to improve the way we serve our customers.

This role is based in Luxembourg.

We leverage cutting edge technologies using Microsoft BI platform, big data and AWS Technologies to provide high volume, low latency, high availability services to our business partners.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics.

He / she should have wide experience with data modeling, ETL design and business intelligence tools, has hand-on knowledge on databases such as SQL Server and Redshift and other related AWS technologies.

He / she passionately partners with the customers to identify strategic opportunities in the field of data engineering. He / she is a self-

starter, comfortable with ambiguity, able to think big (while paying careful attention to details) and enjoys working in a fast-

paced team that continuously learns and evolves on a day to day basis.

Bachelor's degree or higher in a quantitative / technical field (e.g. Computer Science, Statistics, Engineering)

5+ years of relevant experience in one of the following areas : Data engineering or business intelligence or Data Warehousing

3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large datasets

2+ years of experience in programming / scripting languages like Python, Java, R, C#, Bash etc

  • Experience working with large volume of data.
  • Experience in data modeling, ETL development, and Data warehousing

  • Experience in gathering requirements and formulating business metrics for reporting.
  • Experience with SQL Server, Redshift etc.
  • System support. diagnostics and tuning

    Experience with solving complex technical issues

  • Experience in OLAP cube design
  • Experience with Power BI and SSRS
  • Experience with AWS services including S3, Redshift, EMR and Apache Spark
  • Experience with SSIS
  • Experience with software coding practices is a plus
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