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 for the business team;

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

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

Qualifications:

1. Solid foundation in computer science, programming skills, and knowledge of data structures and algorithms, with good engineering practices and efficient problem-solving abilities;

2. Proficient in mainstream big data and stream processing technologies, with strong experience in big data and distributed system development, such as Flink, Storm, Flume, Kafka, etc., along with operational experience in streaming big data;

3. Knowledgeable in data warehouse architecture, data modeling methods, and data governance; passionate about exploring data value, with strong business understanding and abstraction abilities;

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

5. Familiar with one or more OLAP engines such as ES, HBase, Druid, Doris, Hologres, and proficient in development languages like Java, Scala, or Python;

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

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

Job Responsibilities:

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

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

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

Qualifications:

1. Solid foundation in computer science, programming fundamentals, and data structures and algorithms, with good engineering qualities and efficient problem-solving skills;

2. Proficient in mainstream big data and stream processing technologies, with substantial experience in big data and distributed system construction, such as Flink, Storm, Flume, Kafka, etc., along with experience in stream big data computation and operations;

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. Understanding of database knowledge and strong SQL/ETL development skills;

5. Proficiency in at least one OLAP engine such as ES/HBase/Druid/Doris/Hologres, and familiarity with development languages such as Java/Scala/Python;

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