Job Description

Get to Know the Team

The Stream Processing Platform team strives to enable seamless and secure real-time access to the events or "streams", serving as Grab's unified, common access pattern for real-time data. The functional areas this team covers are streaming (Kafka), stream processing (Flink, Flink SQL, Kafka Connect), Change Data Capture, near real-time lake ingestion, stream exploration (Zeppelin, Flink SQL Gateway), and an in-house control plane for tenancy and resource management.

Some examples of the team's work are shared publicly on the Grab Engineering blog:

Make Flink deployments safer through platform guardrails and production deployment patterns (Safer deployment of streaming applications).
Improve Flink release confidence with shadow testing (Enhancing Flink deployment with shadow testing).
Strengthen real-time Kafka data quality with syntactic and semantic stream contracts (Real-time data