BS or MS degree in Computer Science or related technical field or equivalent practical experience; Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.); Experience with performing data analysis, data ingestion and data integration; Experience with ETL(Extraction, Transformation & Loading) and architecting data systems; Experience with schema design, data modeling and SQL queries; Passionate and self-motivated about technologies in the Big Data area. reporting, growth analysis, multi-dimensional analysis); Design and implement reliable, scalable, robust and extensible big data systems that support core products and business; Establish solid design and best engineering practice for engineers as well as non-technical people.