Grab

Technology

SeniorDataEngineer,GrabX

$1200000–1800000k ~AI est. Ho Chi Minh City, Vietnam FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Data Engineer, GrabX at Grab”

Industry & Context.

Technology
Full Job Description

About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. GrabX is Grab's mission-critical Configuration Management and Experimentation platform. We empower every product team at Grab to ship features safely and make data-driven decisions through A/B testing and automated experiment analysis. The platform handles the massive scale of Grab's traffic, managing real-time configurations for millions of concurrent users and processing petabytes of data to provide automated, statistically rigorous insights. Our goal is to minimize the "time to insight" for engineers and product managers, ensuring that every feature launched at Grab is backed by high-fidelity data. Get to Know the Role We are looking for a Lead Data Engineer for the GrabX team. This position focuses heavily on the data backbone of experimentation, leading the design of high-throughput data pipelines that feed our automated analysis engines. You will report to an Engineering Manager in Singapore and work onsite at the Grab Vietnam office (District 7, HCMC). The technical stack includes: * Data Processing & Storage: Apache Flink, Apache Spark, Trino, StarRocks, and Delta Lake. * Online Serving & Config: Golang, AWS infrastructure, Redis, ScyllaDB, and DynamoDB. * Infrastructure: Kubernetes, Terraform, and CI/CD for data workloads. The Critical Tasks You Will Perform * Design and build robust batch and real-time data pipelines to process billions of experiment events daily for automated analysis. * Develop highly efficient Spark or Flink jobs to calculate complex business metrics and statistical significan

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