According to the company’s data warehouse specifications and business understanding, build a universal and flexible data warehouse system that can quickly support the needs and reduce repetitive development work effort.
Data model design, development, testing, deploy, online data job monitoring and the ability to quickly solve complex problems, especially the optimization of complex calculation logic and performance tuning, etc.
Participate in Data governance, include the construction of the company’s metadata management system and data quality monitoring system.
Participate in technical team building and learning growth, and contribute to the team’s overall knowledge accumulation and skill improvement.

3+ years experiences of data lake and data warehouse design and developement experience.
Deeply understanding about data warehouse modeling and data governance.
Solid knowledge of data warehouse development methodology, including dimensional modeling, information factory and onedata, etc.
Proficient in Hive & Spark SQL programming languages.
Proficient in Big Data batch pipeline development.
Familiar with Big Data components including but not limited to Hadoop, HIve, Spark, Delta lake, Hudi, Presto, Hbase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis, etc.
Experiences with AWS Big Data services is a plus.
Clear mind, with good business requirement understanding, analysis, abstraction and system design capabilities.
Have strong team collaboration attitude and develop partnership with other teams and business.
Those who have experienced data volume above PB level in Internet companies and solve difficult production issues are preferred.
Be optimistic, ability to adapt quickly to meet new challenges and quick to respond against incidents

Data Warehouse Engineer