- Build and optimize a performance-based advertising service capable of servicing 10B requests per day.
- Optimize bidding algorithms using machine learning models to increase profitability by 20% within 3 months of hiring.
- Architect data pipelines capable of handling big data workloads.
- Maintain data integrity between the data lake and reporting caches.
- Reduce data processing costs by 10% within 6 months of hiring.
- Complete 10-12 story points per week.
- Present progress and demos in company standup meetings twice a week.
- Participate in live team code reviews.
- Lead monthly Dev Tricks and Lunch and Learn presentations.
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