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A big data engineer at a Hong Kong fintech who designs and builds the enterprise data warehouse, ETL pipelines, and BI/reporting systems, and increasingly integrates LLMs, RAG, and vector databases for AI-driven analytics. Core stack: Spark, Flink, Hive, Kafka, ClickHouse, MySQL, Docker/K8s, and Java/Scala/Python.
A data engineer in Hong Kong who designs and implements an enterprise data warehouse, drives data governance and metric standardization, and builds AI/LLM-powered data analysis. Day-to-day work spans ETL optimization, big data pipelines, and enabling self-service analytics via dashboards and reporting.
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