Job Responsibilities:

1. Responsible for business data research, requirements understanding, and analysis;

2. Responsible for establishing data models and designing data themes based on business requirements;

3. Responsible for writing ETL for data models, participating in team ETL process optimization, and resolving ETL-related technical issues;

4. Understand the data requirements of the business side and provide data services such as OLAP, reports, and data extraction aimed at business needs;

5. Develop data governance standards and establish processes, specifications, and methods for data analysis work;

6. Responsible for data management related to the data platform, including data standards, metadata management, data quality management, etc.;

7. Participate in the design and review of data products;

8. Improve the data quality monitoring system to ensure the SLA of various data metrics in the data warehouse and continuously optimize based on user experience;

9. Support the data needs of the business side and troubleshoot issues, consolidating platform capabilities for common problems.

II. Job Requirements:

1. Relevant industry experience is preferred.

2. Proficient in Java/Scala, with a solid programming foundation and good coding standards preferred.

3. Familiar with Hadoop ecosystem technologies, including Hive, Spark, Flink, and possess strong ETL development and optimization skills.

4. Familiar with big data scheduling system frameworks, and understand technologies such as Kafka and Redis.

5. Good experience in data warehouse development, with the expectation to build and optimize data warehouses, data systems, and data value through in-depth understanding of the business.

6. Passionate about exploring data value, with strong business understanding and abstraction skills, and good external communication and teamwork abilities.

7. Experience in the design and implementation of data systems in a core area is preferred.

$2000-4800, quarterly bonus