1. Merrill Lynch data software development engineer requirements: bachelor degree or above in computer related major. More than 3 years experience in JAVA project development, solid Java foundation, practical project experience in concurrent programming, and some practical experience in distributed, clustering and caching technologies; Familiar with microservice frameworks such as ServiceComb, Dubbo, Zookeeper and Spring Cloud; Skillfully apply front-end development technologies such as HTML\HTML5, CSS, JAVASCRIPT, JQuery, VUE and Bootstrap; Familiar with big data related technologies such as Hadoop, HBase, Hive, Yarn, Spark and Flink. , relevant project experience is preferred; Good code habits, clear structure, standardized naming, strong logic and low code redundancy; Have good teamwork skills, good communication skills, love learning, and can quickly integrate into the team.
2. Advantages of Merrill Lynch Data: Merrill Lynch Data actively explores the construction and operation of industrial Internet platforms, and deeply participates in the implementation of strategic plans such as "internet plus" and "Smart Plus". Merrill Lynch's pilot industrial Internet service platform for manufacturing enterprise users will integrate and enjoy the experience, knowledge and technological achievements of industrial big data services around leading enterprises in the industry, build a new industrial manufacturing and service system, and explore effective ways and new ecology for industrial economic transformation and upgrading. At present, Merrill Lynch Data is also a director and an important member of China Big Data Industry Ecological Alliance, Zhongguancun Big Data Industry Alliance, Smart Military Technology Innovation Strategic Alliance and Digital Transformation Promotion Association. We look forward to working with our partners to promote the integration of data resources and data value. With the rapid development of digital economy, Merrill Lynch Data will take the opportunity of data integration, networking and intelligent development, and take "internet plus" and "Smart Plus" as levers to promote the sharing and cross-border application of industry data, and help the digital transformation and intelligent operation of traditional enterprises!