Big Data Engineer, Tiktok Recommendation
5 days ago
**Job Summary**:
**Job Type**
Permanent
**Seniority**
**Years of Experience**
Information not provided
**Tech Stacks**
Analytics Flow HBase Java Hive Spark kafka Flink C Elasticsearch Redis
**About The Team**
Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.
- The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.
- **Responsibilities**
- Design and implement a reasonable offline data architecture for large-scale recommendation systems
- Design and implement flexible, scalable, stable and high-performance storage and computing systems
- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
- Visualise, interpret, and report data findings and may create dynamic data reports as well
**Qualifications**
- Bachelor's degree or above in computer science, software engineering, or a related field
- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
- Familiar with Java, C ++ and other programming languages
- Strong coding and trouble shooting ability
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