Job Profile: Information Technology > Enterprise Solutions 1. More than 5 years of experience in Big Data technology. Experience building and maintaining a complete 0-1 big data storage and computing platform. 2. Experience in a field encompassing Distributed computing, Data Analytics, and Data Transformation. Especially in IOT data analytics and transformation. 3. Utilize emerging technologies and big data design principles, interfaces, and architecture to support big data and IOT Data storage. Data architecture can especially support large-scale IOT concurrent data writing and querying in real time. 4. Proficient in Hadoop, Hudi, Spark, Doris, MinIO, Flink, etc. to ensure efficient and stable running of each component & cluster. 5. High proficiency in message middleware, such as RabbitMQ, Kafka, etc. 6. High proficiency in Linux commands. 7. Keep learning, and be good at solving and researching complex problems. 1. 五年以上大數(shù)據(jù)技術(shù)經(jīng)驗,有搭建和維護(hù)完整0-1大數(shù)據(jù)存儲計算平臺的經(jīng)驗。 2. 分布式計算、數(shù)據(jù)分析、數(shù)據(jù)轉(zhuǎn)換等領(lǐng)域經(jīng)驗豐富,尤其擅長IOT數(shù)據(jù)分析與轉(zhuǎn)換。 3. 熟練運(yùn)用新興技術(shù)和大數(shù)據(jù)設(shè)計原則、接口和架構(gòu),支撐大數(shù)據(jù)和IOT數(shù)據(jù)存儲,尤其能支撐大規(guī)模IOT并發(fā)數(shù)據(jù)實時寫入和查詢。 4. 熟練掌握Hadoop、Hudi、Spark、Doris、MinIO、Flink等,確保各組件&集群的高效穩(wěn)定運(yùn)行。 5. 熟練掌握消息中間件,如RabbitMQ、Kafka等。 6. 熟練掌握Linux。 7. 不斷學(xué)習(xí),善于解決和研究難題。