Responsibilities: Responsible for the construction and maintenance of data warehouse platform and the design, development and performance optimization of ETL. Establish real-time and offline Big Data processing flow, responsible for the platformization and systematization of data products. Responsible for data governance, improve data usability and data quality. Understand and reasonably abstract business requirements, and work closely with research and business teams to develop the data analysis platform of complex economic network. Requirements: At least 5-year work experience as a Big Data and Data Warehousing engineer. Familiar with RDBMS such as MySQL, PostgreSQL, and familiar with Big Data storage/computing related technologies, such as Hadoop/Hive/Spark/ElasticSearch/HBase/Kafka/Flume/Flink and other common components of the Big Data ecosystem. Familiar with the process and methodology of data warehouse construction, understand dimensional modelling, have real-time data warehouse design and ETL related development experience. Familiar with open source or commercial BI tools, with experience in report and visualization development. An ability to learn quickly and hit the ground running on a complex software project. B.S. or M.S. degree in Computer Science, Engineering or relevant field.