Design and implement scalable ETL/ELT pipelines using AWS services including AWS Glue, Lambda, S3, and Step Functions to process structured and unstructured data from multiple sources.
Intraday analysis of corporate action data relating to market events such as rights and bonus issues, dividend declarations, share consolidations, share splits, initial public offerings, share buybacks, mergers and acquisitions for the Korean financial markets
Platform Development and Modernisation: Actively participate in the transformation of our existing data platform and pipelines, leveraging modern technologies such as Snowflake and Databricks to improve scalability, performance, and efficiency.
Define and maintain the enterprise data architecture principles and governance requirements that guide conceptual, logical, and physical data models across the organisation.
Plan and execute the migrationof enterprise data assets to GCP, including data ingestion, transformation,validation, reconciliation, and cutover support.