Large-Scale Recommendation Architect
3 days ago
As a Large-Scale Recommendation Architect, you will play a crucial role in designing and implementing a storage solution for offline data in our recommendation system, serving over a billion users. Your primary objectives will be system reliability, uninterrupted service, and seamless performance. You will work with the team to create a flexible, scalable, and high-performance storage system that adapts to various data sources within the recommendation system.
Key Responsibilities
- Design and implement an offline/real-time data architecture for large-scale recommendation systems
- Collaborate with the team to ensure system reliability and uninterrupted service
- Develop a flexible, scalable, and high-performance storage system that adapts to various data sources within the recommendation system
Requirements
- Bachelor's Degree or above in Computer Science or related fields, with 1+ years of experience building scalable systems
- Proficiency in common big data processing systems like Spark/Flink at the source code level
- Experience with data lake technologies, such as Hudi, Iceberg, or DeltaLake, is highly valuable
- Knowledge of HDFS principles and familiarity with columnar storage formats like Parquet/ORC is an advantage
Salary and Benefits
- Competitive salary: $155,000 per year
- Opportunity to work with a talented team of engineers
- Collaborative and dynamic work environment
- Professional development opportunities
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