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A leading data engineering firm in Malaysia, located in Selangor, is seeking an experienced Data Engineer. The successful candidate will maintain and extend platforms using Python, Go, and Scala, working with technologies like Apache Spark and Airflow. Responsibilities include improving system performance and integrating new industry developments. The role offers the opportunity to make significant contributions to the data ecosystem. This position is based onsite in Petaling Jaya.
Grab 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.
You 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.