You'll join the Data Intelligence team and perform collecting, visualising and mining generated data from the pipeline of a payment-related system.

Responsibilities:

• Improve payment performance and drive business growth;
• Develop data pipelines and participate in the standard definition of data development;
• Build data quality system and complete data monitoring/verification process;
• Develop data-related product requirements, and be able to independently understand requirement, design schemes, and implement.

Qualifications:

• Bachelor's degree or above in Computer Science, Statistics, Mathematics or other related majors;
• At least 2 years of experiences in data engineering;
• Proficient in at least one programming such as Python, Java, Scala, Go engineering background and interest in data;
• Prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Flink/Storm, etc.);
• Familiar with OLAP engines (Hive/ES/Clickhouse/Druid/Kylin/Doris, etc.);
• Familiar with data warehouse architecture, data modelling methods and data governance; enthusiastic about data mining,business understanding and abstraction capabilities;
• Proficient in databases, SQL/ETL development ability;
• Experience in real-time data warehouse development.