Responsibilities
1. Participation Processing and integration of massive data resources in ByteDance information service platform, service search, labeling, industry data and other scene applications 2. According to different business scenarios, build data models and business index systems, establish and improve daily business The reporting system can disclose the operation status of each project in a timely, accurate and complete manner 3. Build offline data warehouses based on platforms such as Hive/Flink, build real-time data warehouses, and conduct ETL development 4. Understand and reasonably abstract business needs and make use of data Value, work closely with business and R&D teams to provide technical solutions for data analysis and data model development 5. Continuous innovation, promote the rapid development and efficient iteration of the middle platform, abstract data models of various complex scenarios, and continuously expand the platform Support scenarios and application scope, and explore the application scenarios of the incubation information service ToB.
Qualifications
1. Familiar with multiple tools/frameworks related to big data processing/analysis, e.g. Hadoop, Mapreduce, Hive, Storm, Spark, Flink etc 2. Familiar with data warehouse implementation methodology, in-depth understanding of data warehouse system, and supported actual business scenarios 3. Excellent understanding and communication skills, can quickly understand business background, strong business and data understanding ability, sensitive to data, Advocating data to speak, convinced of the value of data in driving business and supporting decision-making 4. Strong coding ability, ability to quickly locate problems in the production environment, and strong enthusiasm for learning new technologies 5. Experience in massive data processing and data governance , Data warehouse project implementation and operation experience is preferred.
