Data Warehouse Engineer

Summary

Join Binance Accelerator Program as Early Career Talent for an immersive experience in the rapidly expanding Web3 space. Participate in building a universal data warehouse system, design knowledge graph, and contribute to team growth.

Requirements

• Undergraduate in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
• Understanding of data warehouse modeling and data governance. Knowledge of data warehouse development methodology, including dimensional modeling, information factory 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.)
• Knowledgable 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, Elastic search, Redis, etc

Responsibilities

• Build a universal and flexible data warehouse system that can quickly support the needs and reduce repetitive development work efforts
• Design knowledge graph, and provide in-depth business insight
• Participate in Data governance, including the construction of the company’s metadata management system and data quality monitoring system

Benefits

• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)