Real-time Data Warehouse Development Engineer (Big Data):

Job Responsibilities:

1. Responsible for the planning, design, and implementation of the real-time data system for the department's user growth initiatives, providing efficient real-time and offline data support to the business team;

2. Responsible for the development of real-time data marts focused on growth directions within the department's business and the development of real-time data metrics;

3. Responsible for optimizing the performance of real-time data computation and data services, ensuring stable real-time data services for the business.

1. Solid foundation in computer science, programming basics, and data structures and algorithms, with good engineering quality and efficient problem-solving abilities;

2. Proficient in mainstream big data and stream data processing technologies, with substantial experience in building big data and distributed systems, such as Flink, Storm, Flume, Kafka, and operational experience in streaming big data computation;

3. Knowledge of data warehouse architecture, data modeling methods, and data governance; passionate about exploring data value, with strong business understanding and abstraction capabilities;

4. Proficient in database knowledge and strong SQL/ETL development capabilities;

5. Mastery of one or more OLAP engines such as ES, HBase, Druid, Doris, Hologres, and proficiency in development languages such as Java, Scala, and Python.

6. Experience in blockchain real-time data development is preferred.