Data Platform Engineer
3 semanas atrás
.Riskified empowers businesses to unleash ecommerce growth by taking risk off the table.
Many of the world's biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention.
Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified's AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.
Riskified is proud to work with incredible companies in virtually all industries including Booking.Com, Acer, Gucci, Lorna Jane, GoPro, and many more.We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter.
Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact.
These sentiments capture why we choose Riskified every day.About the RoleWe're looking for a talented multi-disciplinary Data Platform Engineer with a passion for infrastructure, who will be responsible for the performance, scale, and stability of our core streaming platform.
We are a data-driven organization, ingesting data at high rates, with demands increasing each day.As a Data Platform Engineer, you will be part of the Data Platform group and will be responsible for a large-scale production streaming platform that serves as the core infrastructure of our products.
You'll develop self-service tools that support the accessibility of our platform for the use of other dev departments.
We will look to you to be a center of knowledge, consult, and share your expertise with others.
*** A third party will recruit, hire, and employ this position.What You'll Be DoingImplement the future data streaming platform in Riskified, providing real-time and near real-time scalable and resilient platform for our growing stack of products and microservices.Administrate, provision and monitor our streaming platform.Develop, maintain and enhance the Streaming related Application infrastructure.Guide development teams and mentor other team members.Use your creativity to resolve complex and high scale data related issues.Research new technologies, starting from POC level to production grade systems.QualificationsAt least 3 years prior experience as a Data Engineer / Big Data Infrastructure engineer.Hands-on experience with Data Streaming technologies: Apache Kafka / Apache Pulsar / Spark Streaming / Kstream / Apache Flink.B.Sc.
in Computer Science (or equivalent).Experience working on high scale, production-grade projects.AdvantageExperience with the Cloud Native stack (Kubernetes / Prometheus / Istio etc.
).Experience with a cloud provider (AWS, Google etc.
).Experience with Infrastructure tools (Helm, Ansible, Terraform etc.
).Experience with Scala
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