Lead Data Engineer, GrabX (Experimentation & Config Management) at Grab

About the Role

We are looking for a Lead Data Engineer for the GrabX team. This role focuses on the data backbone of experimentation, leading the design of high-throughput data pipelines that feed our automated analysis engines.

Key Responsibilities

• →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 significance at scale.
• →Implement rigorous data validation and monitoring frameworks to ensure experiment results are accurate and trustworthy.
• →Lead the transition of our data architecture toward a centralized Metric Store model for seamless reuse across product groups.
• →Mentor a team of engineers while driving best practices in data modeling and system design for data-heavy applications.
• →Collaborate with Data Scientists to automate hypothesis testing and anomaly detection within the experimentation lifecycle.