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About
Architect, build, and launch efficient data models and pipelines in partnership with Data Engineering Design and implement metrics and dimensions to enable comprehensive analysis Collaborate with business leads to design and assess offline experiments, including A/B tests
Required qualifications:
5+ years of industry experience with a degree in a quantitative field (e.g., Statistics, Data Science) Strong knowledge in SQL and distributed system optimization (e.g., Spark, Presto) Expert in at least one programming language for data analysis (e.g., Python, R) Experience designing and building metrics and data pipelines Proficiency with Tableau strongly preferred
Languages
- English
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