Data Engineer, AWS Fraud Prevention

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. We are looking for an exceptional Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. The ideal candidate will possess both a data engineering background and a strong business acumen that enables them to think strategically. They will experience a wide range of problem-solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lockstep with BI Engineers, Data Scientists, ML Scientists, Business Analysts, Product Managers, and other stakeholders across organization.About AWS Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Key job 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 AWSAbout the teamAWS 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.Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.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 NodeJSPREFERRED QUALIFICATIONS- 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