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Builds and maintains the company's data platform in Hong Kong: designing automated ETL/ELT pipelines, data models, and cloud data solutions on Azure (Databricks/Synapse), while monitoring performance and translating analyst/stakeholder needs into technical specs. Requires 3+ years of data engineering and strong SQL.
Data engineer at Yusen Logistics (Hong Kong) who plans, implements, and maintains the company's data platform — designing, building, and automating data pipelines and streams, and developing data models and schemas for integration and analysis. Core stack: SQL plus Azure cloud data tools such as Databricks or Synapse.
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