Full-stack Engineer

• Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers and business partners
• Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs
• Model structured & unstructured data and own data models at a high level; act as a data consultant for partner teams
• Champion best practices on system usages and hold high-quality code standards
• Participate in the team’s oncall rotation, helping solve timely reliability incidents
• Design and scale data lake, data pipelines, distributed query engines, experimentation framework, and dashboards
• Improve system reliability, create/improve tooling, and promote correct use of data across the company
• Optimize, enhance or re-design company’s data architecture/pipelines to support next generation data initiatives

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