Job Title: Data Warehouse Engineer Responsibilities: Participate in the design and construction of the company's data warehouse.

Collaborate with the analysis and development teams to engage in data modeling activities, driving the data-driven operations of business departments.

Collaborate on the development and construction of data application projects for the company.

Work closely with cross-functional teams to contribute to the development and construction of data application projects, ensuring alignment with organizational goals.

Qualifications: Possess a minimum of 4 years of experience in the field of data warehousing.

Demonstrate proficiency in data warehouse model design and ETL development, including expertise in dimension modeling design methods and hands-on experience in processing massive datasets (ETL).

In-depth understanding of the knowledge base and skills in the data warehouse domain.

Exhibit a profound understanding of data collection, data integration, data quality, and data application pipelines.

Foundation in data modeling and data architecture with familiarity in big data ecosystems.

Have a solid foundation in data modeling and data architecture, along with familiarity with big data technologies such as Hadoop, Hive, HBase, Spark, Kafka, Flink, Presto, Click House, among others.

Expertise in SQL with experience in SQL performance tuning, and proficiency in Hive SQL development.

Demonstrate mastery in SQL, with hands-on experience in SQL performance optimization, and familiarity with Hive SQL development.

Proficiency in at least one of the following languages: Java, Python, Shell, or Scala.

Exhibit fluency in at least one programming language, including but not limited to Java, Python, Shell, or Scala.

If you are passionate about data warehouse design, possess a strong analytical mindset, and have the skills to drive data-centric initiatives, we invite you to join our dynamic team at WOO.

Be a key player in shaping the future of our data infrastructure and contribute to the success of our data-driven business operations.