Get to Know the Team
The Streaming Data team (aka "Coban") strives to enable seamless and secure real-time access to the continuous events or "streams", serving as Grab's unified, common access pattern for real-time data. We build the infrastructure and platform for writing, consuming, enriching and retrieving real-time data, and provide a cost-effective, fully managed "NoOps" service for all product teams to leverage.
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), as well as an in-house control plane for tenancy and resource management.
Our customers are engineers, analysts, and data scientists at Grab (across all verticals like Transport, Deliveries, Geo, Ads, and various Fintech verticals), who leverage realtime data for state machines, pub/sub architectures, insights and reporting, forecasting and anomaly detection, as well as online feature engineering. The team is responsible for mission critical systems and clusters that ingest and process 10s of TB of data every hour and make them available to end-users at millisecond latencies.
Get to Know the Role
Engineers are expected to be significant and autonomous contributors to their team, trusted with designing, shipping, operating and monitoring software systems in a consistently high-quality manner. You would work on the go backend of our team's control plane, considering the appropriate architectural patterns, code design, and infrastructure options, ensuring that you deliver a secure, reliable, testable, maintainable, extensible, and well-tested system.
You will report to the Senior Data Engineering Manager and will work onsite at CMC Creative Space, Tan Hung ward, HCMC
The Critical Tasks You Will Perform