Senior Data Engineer

📋 Description

• Design and manage scalable end-to-end data solutions across acquisition, storage, processing, and
• Collaborate with stakeholders across Southeast Asia including data modelers, product analysts, PMs
• Build and maintain batch, real-time, and event-driven ETL pipelines using core AWS services (Glue
• Leverage in-house data platform tools alongside native AWS technologies to streamline pipeline
• Translating real-time data availability into actionable business definitions to drive data-informed

🎯 Requirements

• 6+ years building scalable data pipelines.
• Proficiency in Python, Scala, or Java; strong SQL and data modeling.
• Expertise in Flink, Spark, Trino, Airflow, Kafka across SQL, NoSQL, and columnar DBs.
• Hands-on with AWS services (S3, EMR, Redshift, Athena, Glue, Kinesis) and event-driven
• Analytical mindset with ability to communicate updates to customers and partners and drive
• Degree in Computer Science, IT, Engineering, or related field.

🎁 Benefits

• Term Life Insurance and Medical Insurance.
• GrabFlex benefits package flexibility.
• Parental and Birthday leave plus LASA volunteering leave.
• Grabber Assistance Programme and flexible work arrangements (FlexWork).