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Binance | Taipei, Taiwan |
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Binance
Taiwan, Taipei
Senior Data Engineer (Data Warehouse) - Web3
Asia / Taiwan, Taipei / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Thailand, Bangkok
Engineering – Big Data /
Full-time: Remote /
Hybrid
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Role
As a Senior Data Engineer, where you’ll architect and maintain a highly flexible, enterprise-scale data warehouse that accelerates insights and minimizes redundant work. Leveraging deep expertise in data modeling, governance and Big Data technologies (Hadoop, Spark, Hive, etc.), you’ll design end-to-end ETL pipelines, optimize performance, and build metadata and quality monitoring frameworks. You’ll collaborate closely across business and technical teams, mentor peers, and continuously evolve our data platform to meet the demands of petabyte-scale environments.
Responsibilities
- Architect and implement a flexible, scalable data warehouse aligned with company specifications and business requirements, accelerating delivery and reducing redundant development.
- Design, develop, test, deploy and monitor data models and ETL jobs; rapidly troubleshoot complex issues and optimize calculation logic and pipeline performance.
- Lead data governance initiatives by building and maintaining metadata management and data quality monitoring systems.
- Foster technical team growth through mentorship, knowledge sharing and continuous improvement of collective skills.
Requirements
- 5+ years of hands-on experience designing and developing data lakes and data warehouse solutions.
- 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).
- Proven track record in building high-throughput batch pipelines on Big Data platforms.
- Familiarity with core Big Data technologies (Hadoop, Hive, Spark, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis).
- AWS Big Data service experience is a plus.
- Strong analytical and system-design capabilities, with a clear understanding of business requirements and ability to abstract and architect solutions.
- Collaborative mindset, skilled at building partnerships across teams and stakeholders.
- Preferred: Experience managing petabyte-scale data in Internet-scale environments and resolving critical production incidents.
- Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.