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 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.

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.