Staff/Senior Staff Web3 Big Data Engineer

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.

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.

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.

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.

Basic smart contract knowledge (Solidity); able to read contract code logic.

Contribution experience in open-source big data / blockchain data / AI infrastructure projects.

Relevant technical certifications (e.g. AWS/GCP big data or AI certifications).

Experience using AI coding agents (e.g. Claude Code) to improve data engineering efficiency.

Competitive total compensation

Comprehensive insurance coverage for employees and their dependants

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