Senior Data Engineer
Core
Design and manage scalable, end-to-end data solutions for acquisition, storage, processing, and consumption across Southeast Asia.
Role type
Senior Data Engineer
Builds
Scalable batch, real-time, and event-driven ETL pipelines and modern data lifecycle frameworks on AWS.
Domain
Fintech / Lending / Southeast Asia
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Scala, Java, SQL, schema design, data modeling, big data frameworks (Flink, Spark, Trino, Airflow, Kafka), AWS services (Glue, Redshift, Athena, Lambda, S3, EMR, Kinesis, MSK), event-driven architectures, data structures, algorithms
Preferred skills
Machine Learning concepts, in-house data platform tools
Technologies
Flink, Airflow, Spark, Kafka, Trino, AWS Glue, AWS Redshift, AWS Athena, AWS Lambda, AWS S3, AWS EMR, AWS Kinesis, AWS MSK, AWS Glue DataBrew
Responsibilities
Build and maintain scalable batch, real-time, and event-driven ETL pipelines using core AWS services; Design and deploy modern data lifecycle frameworks supporting streaming, API-based, serverless, and batch consumption; Establish robust data checks, automated cleansing routines, and governance best practices; Monitor, maintain, and optimize data platform infrastructure to guarantee high availability and low latency; Collaborate across engineering teams to translate real-time data availability into actionable business definitions.
Seniority
Senior, hands-on IC
