Jobs at Amazon in Germany

Job ID: 3076388 | Amazon Web Services Development Center Germany GmbH

Are you interested in taking your skills and career to the next level, while having fun and fighting fraud in the cloud? You will be the driving force for developing the data and insights strategy for our global AWS Payments and Fraud team. You will be part of Data Engineering that shapes the long-term data and insights strategy for AWS Payments and Fraud team.

We are looking for an exceptional Data Engineer who is passionate about data and the insights that large data sets can provide. The ideal candidate will have both a data engineering background and a strong business acumen to think strategically. The role involves problem-solving with extensive data collection and analysis, and collaboration with BI Engineers, Data Scientists, ML Scientists, Business Analysts, Product Managers, and other stakeholders across the organization.

• Develop and improve the current data architecture, data quality, monitoring, and data availability
• Collaborate with Data Scientists to implement analytics algorithms for statistical analysis, prediction, clustering, and machine learning
• Partner with Data Scientists and Business Analysts to build and verify hypotheses to protect AWS services and customers from fraud
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
• Stay up to date with advances in big data technologies and run pilots to design scalable data architectures for growing data sets

AWS Fraud Prevention’s mission is to protect AWS and its customers from fraudulent and abusive behaviors. The team uses Machine Learning models and rules, containment of risky accounts, investigation of suspicious accounts, and remediation of fraud to recover service capacity. The team emphasizes mentorship, knowledge-sharing, and career growth.

• This role requires you to be a national of an EU member state
• 3+ 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 with Apache Spark / EMR
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM

Amazon is an equal opportunities employer. We value diversity and base recruiting decisions on experience and skills. Privacy notice: Please review our Privacy Notice to understand how we collect, use, and transfer personal data of candidates.

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