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Data Engineer on Toss Place's Data Platform Team in Seoul designs, builds, and operates real-time streaming data pipelines on Flink and Kafka, and standardizes repeated pipeline work into a shared self-serve streaming platform so product teams can consume data in real time.
Data engineer on Toss Place's Data Platform Team, building and operating large-scale data infrastructure and analytics pipelines on Kubernetes/EC2 — running Kafka, StarRocks, Airflow, Spark, and Elasticsearch, and evolving a real-time analytics platform on StarRocks and Apache Iceberg.
Builds and maintains finance-focused data platforms for accounting and ALM simulations using Hadoop and open-source tools, collaborating closely with finance teams.
Builds and optimizes Toss Bank’s hybrid data platform (Hadoop, Airflow, Trino/Impala, BI tools) and migrates workloads to AWS/GCP, ensuring scalable, reliable data access for analysts and engineers.
Builds and maintains a global financial data platform for securities, processing real-time market data with AI/ML pipelines using Kafka, Spark, and Iceberg.
Builds and maintains scalable data pipelines for financial market data, transforming raw disclosures and market feeds into structured investment insights using Python, SQL, and distributed systems.
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