Big Data Development Engineer

1. Design and implement a reasonable offline/real-time data architecture for large-scale recommendation systems 2. Design and implement flexible, scalable, stable, and high-performance storage systems and computing models 3. Trouble-shotting of production systems, design and implement necessary mechanisms and tools to ensure the stability of the overall operation of the production system 4. Create industry-leading distributed systems such as offline online storage and batch streaming computing frameworks to provide reliable infrastructure for massive data and large-scale business systems.

1. Familiar with an open source framework in the field of big data, Hadoop/Hive/Flink/FlinkSQL/Spark/Kafka/Hbase/Redis rocksdb/Elasticsearch/Parquet 2. Familiar with programming languages such as Java and C++ 3. Excellent coding and trouble-shooting abilities 4. Willing to challenge questions without obvious answers, and have a strong enthusiasm for learning new technologies 5. Bonus points for having PB-level data processing experience 6. Bonus points for having a principle/source code level understanding of a certain big data framework.