Data Engineer, AWS Fraud Prevention

Amazon; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading technology company in Berlin is seeking an experienced Data Engineer to drive data and insights strategy for their AWS Payments and Fraud team. The ideal candidate will have a background in data engineering, SQL, and modern programming languages, with responsibilities including improving data architecture and collaborating with Data Scientists to combat fraud. This role emphasizes mentorship and career growth in a dynamic environment.

Qualifikationen

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience in at least one modern scripting or programming language.

Aufgaben

• Develop and improve the current data architecture.
• Collaborate with Data Scientists to implement analytics algorithms.
• Partner with stakeholders to protect AWS services from fraud.

Kenntnisse

Data modeling

ETL pipelines

SQL

Data analysis

Collaboration

Python

Business acumen

Tools

Apache Spark

AWS technologies

Jobbeschreibung

Overview

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.

Responsibilities

• 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

About the team

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.

Basic Qualifications

• 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

Preferred Qualifications

• Experience with Apache Spark / EMR
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM

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