Data Engineer II

Design and implement middleware and backend systems capable of handling high throughput and load in a distributed data platform.
Develop and maintain real-time stream processing using Flink (stateful and stateless) and scalable ETL jobs that enable insights.
Optimize performance, reliability, and monitoring of the data pipeline across regions and teams.
Support migration from on-premises Kafka to modern cloud technologies and architectures.
Analyze functional and business requirements and translate them into data solutions that drive value.
Collaborate with product and engineering teams across time zones to turn data into actionable information.