Blockchain Data Analyst & Researcher
Lukka provides enterprise software and data solutions for the crypto asset ecosystem.
Projects
About Lukka
Lukka offers comprehensive data and software solutions for businesses dealing with crypto assets. Founded in 2014, the company bridges the gap between complex blockchain data and traditional business needs. Lukka's products include data management, financial reporting, pricing data, and blockchain analytics tools, all adhering to institutional standards like AICPA SOC controls
Skills
About the Role
You will research the internals of blockchain networks, reverse-engineer DeFi protocols, and translate complex on-chain interactions into structured, production-ready data. You will architect intuitive data models, design schemas for new blockchains, and build SQL/dbt models that deliver accurate metrics such as TVL, volume, and fees. You will define data quality standards, filter out wash trading, bot activity, and Sybil attacks, and build scalable real-time pipelines using tools like Flink, Spark Streaming, and data lakehouse platforms. You will write advanced SQL and Python to process large, semi-structured datasets, and use APIs and node queries to ingest external data.
Requirements
- 3+ years of hands-on experience in Data Science, Data Engineering, or a hybrid role
- Blockchain or crypto analytics background, with familiarity with on-chain data structures, transaction semantics, and asset classification
- Experience building and operating real-time data pipelines with Apache Flink or Spark Streaming
- Experience managing large-scale data lakehouses with Apache Iceberg or Apache Hudi
- Experience with AWS S3 and RDS
- Proficiency in Spark SQL and PySpark
- Familiarity with data grid technologies such as Hazelcast, Apache Ignite, or Redis
- Advanced SQL skills including window functions, query plan analysis, and performance tuning
- Proficiency in Python with Pandas, Polars, and Scikit-learn
- Experience architecting high-throughput ingestion pipelines using REST APIs, WebSocket APIs, and JSON-RPC node queries
- Strong understanding of ETL fundamentals and schema mismatches
- Systematic approach to debugging and root-cause analysis
- Comfort working with large, semi-structured, or undocumented data sources
Responsibilities
- Research blockchain protocols and their internals
- Reverse-engineer DeFi smart contracts and on-chain interactions
- Architect data models and schemas for blockchain data
- Index new blockchains and expand ecosystem coverage
- Map, cleanse, and normalize raw on-chain data into structured datasets
- Define key metrics such as TVL, volume, and fees
- Filter out wash trading, bot activity, and Sybil attacks
- Build production-grade SQL/dbt models and data pipelines
- Maintain data quality and integrity across analytics and machine learning systems