Senior Data Platform Engineer job opportunity at Grab.

Home Jobs In Malaysia Tag: Job Senior Data Platform Engineer position at Grab


Date2026-04-09T06:50:21.609Z bot
Grab Senior Data Platform Engineer
Experience: General
Pattern: Full-time
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degreeGeneral
loacation First Avenue, Petaling Jaya, Malaysia
loacation First Avenue, ..........Malaysia
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Job DescriptionGet to Know the TeamGrab Data Engineers are key contributors to Southeast Asia's extensive data ecosystem, enabling growth through democratization of data at scale. We maintain Grab's data infrastructure, a dependable and efficient platform that supports internal data processes and company-wide data lake access. Our tech stack leverages industry-leading distributed compute engines like Apache Spark, Trino, and Starrocks, orchestrated by Airflow and backed by AWS S3. Our evolving Data Lake storage architecture utilizes modern open-source formats like Apache Iceberg and Delta in addition to traditional Apache Hive Parquet tables.Furthermore, our team collaborates closely with Grab's Data Catalog team to offer self-service data lake capabilities powered by Datahub and Grab's AI platforms to ensure a smooth experience for users in their AI development. By abstracting away technical complexity, we empower our users with a unified, friction-free journey from initial idea to actionable insight.Get to Know the RoleYou will support the mission of the team by maintaining and extending the platform capabilities through implementation of new features and continuous improvements. You will also explore new developments in the industry and integrate them into our ecosystem to the benefit of the data community at Grab.You will report to our Data Engineering Manager II, and you will based onsite in our Petaling Jaya office.The Critical Tasks You Will PerformYou will maintain and extend the Python/Go/Scala backend for Grab's Airflow, Spark, Trino and Starrocks platformYou will modify and extend Python/Scala Spark applications and Airflow pipelines for better performance, reliability, and cost.You will design and implement architectural improvements for new use cases or efficiency.You will build platforms that can scale to the 3 Vs of Big Data (Volume, Velocity, Variety)You will follow various testing best practices and SRE best practices to ensure system stability and reliability.

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