Senior Data Warehouse Engineer - Big Data, Flink

Responsibilities

• Design and build a scalable and flexible data warehouse system in line with the company’s standards and business requirements, enabling rapid support for analytical needs and reducing redundant development efforts.
• Responsible for data model design, development, testing, deployment, and real-time monitoring of data jobs, with strong capability in troubleshooting complex issues, optimizing calculation logic, and enhancing performance.
• Contribute to data governance initiatives, including the development of the company’s metadata management and data quality monitoring systems.
• Support technical team development through knowledge sharing, continuous learning, and skill enhancement, fostering the team’s overall growth and expertise.

Requirements

• 5+ years of hands-on experience in data engineering, data lake, or data warehouse development.
• Deep expertise in data warehouse modeling and governance, including dimensional modeling, information factory (data vault) methodologies and “one data” principles.
• Proficiency in at least one of Java, Scala or Python, plus strong Hive & Spark SQL programming skills.
• Practical experience with OLAP engines (e.g., Apache Kylin, Impala, Presto, Druid) and real-time serving systems.
• Proven track record of both high-throughput batch pipelines and low-latency streaming pipelines (e.g., Flink, Kafka), with production SLAs for stability, availability, and sub-second freshness.
• Familiarity with core Big Data technologies (Hadoop, Hive, Spark, Flink, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis).
• Experience in Web3 data domains (on-chain/off-chain data, token/transaction/holder analytics) and ability to design data services powering online applications.
• AWS Big Data service experience is a plus.
• Strong analytical and system-design capabilities, with a clear understanding of business requirements into scalable, high-quality data architecture.
• Collaborative mindset, skilled at building partnerships across teams and stakeholders.
• Preferred: Experience managing petabyte-scale data in Internet environments and resolving critical real-time production incidents.
• Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.