Senior Data Engineer
Job Description
Get to Know the Role
As a Data Engineer in the Lending Data Engineering team, you will collaborate with a diverse group of stakeholders across Southeast Asia. This group includes data modelers, product analysts, product managers, software engineers, and business leaders. You will design and manage scalable, end-to-end data solutions across acquisition, storage, processing, and consumption. These solutions will utilize technologies like Flink, Airflow, Spark, Kafka, and Trino. You will report directly to the Data Engineering Manager, with a full-time onsite working arrangement in our Jakarta Office.
The Critical Tasks You Will Perform
• Build and maintain scalable batch, real-time, and event-driven ETL pipelines using core AWS services (Glue, Redshift, Athena, Lambda, S3, EMR, Kinesis, MSK).
• Design and deploy modern data lifecycle frameworks supporting streaming, API-based, serverless, and batch consumption directly on the data lake.
• Establish robust data checks, automated cleansing routines, and governance best practices using tools like AWS Glue DataBrew to ensure high data reliability.
• Monitor, maintain, and optimize data platform infrastructure to guarantee high availability, low latency, and accurate, timely delivery of key business metrics.
• Master and leverage in-house data platform tools alongside native AWS technologies to streamline pipeline setup, execution, and real-time metric tracking.
• Collaborate across engineering teams to translate real-time data availability into actionable business definitions, driving data-informed decision-making.
Requirements
Function: Engineering
Experience Level: Mid-Senior Level