• Platform Architecture: Own the architecture, development, and optimization of our big data platform, supporting large-scale collection, processing, and analysis of on-chain data, trading behavior, and user profiles.
• On-Chain Data Pipelines: Design and build real-time/batch data pipelines for on-chain data — blockchain transactions, smart contract events, wallet address behavior.
• Data Warehouse & Lake: Build and maintain the data warehouse/lake, define data-layering standards, and ensure data quality, consistency, and timeliness.
• AI-Driven Data Applications: Combine big data with LLM capabilities to build intelligent applications — on-chain anomaly/fraud detection, smart risk models, user behavior prediction, and natural-language data querying (Text2SQL).
• AI Infrastructure: Build data infrastructure for AI use cases — vector databases, feature platforms, and Embedding pipelines supporting RAG retrieval and Agent data supply.
• Cross-Team Collaboration: Partner with Algorithm/AI teams on large-scale data processing and pipelines for model training data and feature engineering; partner with Product, Risk, and Growth teams on data needs for trading analytics, anti-fraud, growth, and operations.
• Performance & Reliability: Optimize performance and resource efficiency of big data jobs, ensuring stability and SLAs on core pipelines.
• Technical Direction: Track industry developments in big data, Web3 data infrastructure, and AI, driving technology selection and architecture evolution.
• Global Collaboration: Communicate and document in English with overseas colleagues and partners (exchanges, public chain teams, etc.).

Big Data Engineering

• Bachelor's degree or above in Computer Science, Software Engineering, or related field; 7+ years of big data development experience.
• Proficiency with Hadoop, Spark, and Flink, with experience building batch/real-time data warehouses.
• Familiarity with Hive, Kafka, HBase, ClickHouse, and Doris, with large-scale cluster tuning experience.
• Strong big data development skills in Java/Scala/Python, with solid SQL tuning ability.
• Experience with data governance, data quality monitoring, or metadata management is a plus.

AI Capabilities

• Understanding of LLM fundamentals and application patterns, with hands-on experience in prompt engineering and RAG.
• Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) or Embedding data processing.
• Familiarity with emerging AI application architectures such as AI Agents or MCP (Model Context Protocol) is a plus.
• Experience connecting big data platforms with AI/ML training and inference pipelines (e.g. feature platforms, real-time feature serving).
• Experience using LLMs to accelerate data engineering (automated data quality checks, intelligent ETL generation, Text2SQL) is a plus.
• Basic ML/deep learning knowledge and ability to collaborate effectively with algorithm teams is a plus.

Web3 Industry Knowledge

• Understanding of blockchain fundamentals (account model/UTXO, consensus mechanisms, gas mechanics).
• Understanding of on-chain data structures for major public chains (Ethereum, BSC, Solana, Bitcoin, etc.) — blocks, transactions, event logs, token transfers (ERC-20/ERC-721).
• Experience with on-chain data collection/parsing is a plus — e.g. building or integrating with The Graph, Dune, Etherscan API, or node RPCs.
• Understanding of DeFi, NFT, or cross-chain bridge business models and their data characteristics is a plus.
• Data engineering experience at an exchange, wallet, DeFi protocol, or on-chain analytics company is a plus.

Language & Soft Skills

• Fluent English reading/writing; able to independently read English technical documentation (e.g. Ethereum Yellow Paper, RFCs/EIPs, AI papers) and write technical proposals and weekly reports in English.
• Able to communicate in English with overseas teams, communities, or partners, with strong cross-cultural communication skills.
• Clear logical thinking, strong problem decomposition and troubleshooting ability, and a strong appetite for learning new AI technology.
• Strong team player, able to deliver consistently in a fast-paced, high-uncertainty Web3 environment.

• Competitive total compensation
• Comprehensive insurance coverage for employees and their dependants
• More that we love to tell you along the process!