Senior Data Warehouse Engineer
New
Taiwan, Taipei; Hong Kong; Thailand, Bangkok; Australia, Brisbane; Australia, Melbourne; Australia, Sydney; New Zealand, Auckland; New Zealand, Wellington; South Korea, Seoul; Japan, Tokyo; AsiaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Bilingual English/Mandarin
- Experience
- 5+ years
- Required Skills
- PythonJavaKafkaScalaData modeling
Requirements
- 5+ years of hands-on experience in data engineering, data lake, or data warehouse development.
- Deep expertise in data warehouse modeling and governance (dimensional modeling, data vault).
- Proficiency in at least one of Java, Scala or Python.
- Strong Hive & Spark SQL programming skills.
- Practical experience with OLAP engines (e.g., Apache Kylin, Impala, Presto, Druid).
- Proven track record with batch pipelines and streaming pipelines (Flink, Kafka).
- Familiarity with core Big Data technologies (Hadoop, Delta Lake, Hudi, Airflow, etc.).
- Experience in Web3 data domains (on-chain/off-chain data, token analytics).
- Strong analytical and system-design capabilities.
- Bilingual English/Mandarin required.
Responsibilities
- Design and build a scalable and flexible data warehouse system.
- Manage data model design, development, testing, and deployment.
- Perform real-time monitoring of data jobs and troubleshoot complex issues.
- Optimize calculation logic and enhance system performance.
- Contribute to data governance, metadata management, and data quality monitoring.
- Support technical team development and foster expertise.
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