Data Warehouse Engineer

Responsibilities

• 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 efforts.
• Data model design, development, testing, deployment, 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, including 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.

Requirements

• 5 + years experiences of data lake and data warehouse design and development experience.
• Deeply understanding of data warehouse modeling and data governance. Solid knowledge of data warehouse development methodology, including dimensional modeling, information factory, and one data, etc.
• Proficient in Java / Scala / Python (at least one language) and Hive & Spark SQL programming languages.
• Familiar with OLAP technology (such as: kylin, impala, presto, druid, etc.).
• 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 are a plus.
• Clear mind, with good business requirement understanding, analysis, abstraction, and system design capabilities.
• Have a strong team collaboration attitude and develop partnerships with other teams and businesses.
• Those who have experienced data volume above PB level in Internet companies and solve difficult production issues are preferred.
• Be optimistic, able to adapt quickly to meet new challenges, and quick to respond to incidents.