Data Engineer II

Develop and maintain server-side applications to shape, manage, and transform data across a large, geographically distributed infrastructure.
Design and implement middleware and backend systems capable of handling high throughput, low latency, and high availability.
Build and optimize stream processing jobs with Flink (stateful and stateless) and scalable ETL pipelines to deliver real-time insights.
Collaborate with product teams to translate requirements into data solutions and contribute to architectural decisions for the cloud streaming data pipeline.
Support the migration of on-prem Kafka workloads to cloud technologies and ensure reliability, monitoring, and performance.
Work in a distributed team across time zones, applying Git, CI/CD, and modern software practices while driving data-driven decisions.