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About
Conceptualize and own the data architecture for large-scale projects, evaluating design and operational cost-benefit tradeoffs Create frameworks to improve logging data efficacy and collaborate with data infrastructure to resolve issues Design, build, and launch sophisticated data models and visualizations that support multiple use cases across different products
Required qualifications:
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala) Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact Experience implementing responsible and ethical AI practices, including risk assessment and bias mitigation Ongoing AI skill development and staying current with emerging AI technologies
Languages
- English
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