Big Data Engineer, Recommendation Architecture - Emory, United States - TIKTOK PTE. LTD.

Description

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 - What You'll Do

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

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

Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies

Experience of Peta Byte level data processing is a plus

At least 3 years of relevant experience

#J-18808-Ljbffr