🛠 Tech Stack

💼 About This Role

You'll architect and maintain a highly flexible, enterprise-scale data warehouse powering Web3 analytics and real-time online services. You'll design low-latency, high-throughput pipelines ensuring sub-second freshness for critical business applications. This role spans building scalable ETL and streaming pipelines while mentoring peers.

🎯 What You'll Do

• Architect and implement scalable data warehouse for Web3 analytics and real-time services.
• Design, develop, test, and monitor batch and streaming pipelines (ETL/ELT).
• Optimize data models for transactions, assets, and social data with high query performance.
• Lead governance initiatives with metadata management and 100% DQC coverage.

📋 Requirements

• 5+ years of experience designing data lakes and data warehouse solutions.
• Expertise in dimensional modeling and data vault methodologies.
• Proficiency in Java, Scala, or Python with strong Hive and Spark SQL skills.
• Experience with OLAP engines and real-time serving systems.

✨ Nice to Have

• Experience with AWS Big Data services.
• Petabyte-scale data management in Internet environments.
• Bilingual English/Mandarin proficiency.

🚩 Heads Up

• Requires bilingual English/Mandarin (language barrier for some applicants).
• Mentions petabyte-scale experience as preferred but not guaranteed in role.