Nas.com, based in Singapore, is searching for a Mid-Level Data Engineer to work on designing and maintaining scalable data pipelines. You will collaborate with product, marketing, and analytics teams to ensure the data is reliable and actionable. Ideal candidates will have at least 3 years of experience in data engineering with strong SQL skills and familiarity with modern data warehouses such as BigQuery and Snowflake. Comprehensive medical insurance and a wellness fund are among the benefits offered.
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