Data Platform Engineer
About Project:
Riskified empowers merchants and shoppers to realize the full potential of eCommerce by making it safe, accessible, and frictionless. Riskified Global Team helps the world’s most innovative eCommerce merchants eliminate risk and uncertainty from their business. Merchants integrate Riskified’s machine learning platform to create trusted customer relationships, driving higher sales while reducing costs. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for global brands and fast-growing businesses across industries, including Wayfair, Wish, Peloton, Gucci, and many more. As of July 29th, 2021, Riskified has begun trading on the NYSE under the ticker RSKD. Check the Riskified Technology Blog for a deeper dive into R&D work.
Description:
We’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.
Responsibilities:
Implement the future data streaming platform in Riskified, providing a 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,n 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.
Requirements
At 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
Nice to have
Experience 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
Working conditions
- Hybrid working model (2-3 days a week)
Why Join Us: This is an exciting opportunity to be part of a dynamic, fast-growing company where your contributions will have a direct impact on our success. If you are a strategic thinker with a passion for client success and are ready to take on a challenging role, we want to hear from you.
