Senior Data Engineer - Streaming

Build and maintain a large-scale event streaming platform using Kafka, Flink, and other technologies.

• •Checkout.com is looking for an ambitious Senior Data Engineer to join our Data Platform Team.
• •Our team's mission is to build a world-class data platform that powers our products and analytics.
• •Key Responsibilities Work with stream processing technologies (Kafka, kSQL & Flink) to build a continuously available large-scale event streaming platform.
• •Stay up-to-date with the latest data and streaming engineering technologies and trends.
• •Build tooling (SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications.
• •Provide consultancy across the technology organisation to drive the adoption of the platform and unlock use-cases.
• •Promote data quality and governance as a first class citizen of the platform.
• •Requirements Strong engineering background with a track record of implementing and owning components of a data platform.
• •Experience working with stream technologies, ideally Kafka, but Kinesis or similar would also be applicable.
• •Experience designing and implementing stream processing applications (kStreams, kSQL, Flink, Spark Streaming).