Data Engineer, AWS Fraud Prevention

Amazon Jobs; Berlin; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading global cloud company in Berlin is seeking a Data Engineer to enhance the data architecture and collaborate closely with Data Scientists in the AWS Payments and Fraud team. The ideal candidate has over 3 years of experience in data engineering, proficient in SQL, and is familiar with AWS technologies. This role offers an opportunity to work in a dynamic team committed to innovation and mentor support.

Qualifikationen

• Requires national of an EU member state.
• 3+ years of data engineering experience.
• Experience with data modeling and warehousing.

Aufgaben

• Develop and improve data architecture and quality.
• Collaborate with Data Scientists on advanced analytics.
• Help improve reporting and analysis processes.

Kenntnisse

data engineering

SQL

Apache Spark

Python

ETL pipelines

Tools

AWS Redshift

AWS Glue

AWS EMR

Jobbeschreibung

Overview

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

Key responsibilities

• Develop and improve the current data architecture, data quality, monitoring, and data availability
• Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering, and machine learning
• Partner with Data Scientists and Business Analysts across teams 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
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS

About the team

AWS Fraud Prevention’s mission is to protect AWS and its customers from the cost, inconvenience, and damage due to fraudulent and abusive behaviors. We aim to provide the best possible customer experience by balancing the cost of financial and reputational risk (e.g. OPEX, service unavailability) against customer friction (e.g. service limits, customer downtime). To accomplish this mission, we employ a strategy that includes preventing access to AWS via the sign-up process, detecting fraudulent and abusive behaviors using Machine Learning models and rules, containing risky accounts by limiting access to service resources, investigating suspicious accounts, and remediating fraud and compromise within AWS by cleaning up account resources to recover service capacity.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise, so you feel empowered to take on more complex tasks in the future.

About AWS

AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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
• Experience with Apache Spark / Elastic Map Reduce
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions

EEO and Privacy

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.

m/w/d

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