Senior Data Engineer

📋 Description

• Build and maintain scalable batch, real-time, and event-driven ETL pipelines using core AWS
• Design and deploy modern data lifecycle frameworks supporting streaming, API-based, serverless, and
• Establish robust data checks, automated cleansing routines, and governance best practices using
• Monitor, maintain, and optimize data platform infrastructure to guarantee high availability, low
• Master and leverage in-house data platform tools alongside native AWS technologies to streamline
• Collaborate across engineering teams to translate real-time data availability into actionable

🎯 Requirements

• 6+ years building scalable, fault-tolerant, and mission-critical data pipelines.
• Proficiency in Python, Scala, or Java; strong SQL, schema design, and data modeling skills.
• Expertise in big data frameworks (Flink, Spark, Trino, Airflow, Kafka) across SQL, NoSQL, and
• Hands-on experience with AWS services (S3, EMR, Redshift, Athena, Glue, Kinesis) and event-driven
• Experience for analytical. Experience communicating updates and resolutions to customers and other
• Degree in Computer Science, IT, Engineering, or a related technical field.

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex: create a benefits package that suits your needs and aspirations.
• Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.
• Confidential Grabber Assistance Programme.
• FlexWork arrangements such as differentiated hours.