Blockchain Data Analyst & Researcher

Why This Role As a Blockchain Data Analyst & Researcher, you will be a pivotal force in our data intelligence efforts, serving primarily as a blockchain data protocol researcher. Your core mission will involve a deep dive into the complex internals and mechanics of various blockchain networks, reverse engineering of sophisticated Decentralized Finance (DeFi) protocols, and translating these complex systems into actionable, structured data. Develop new derivative data models and datasets for client insights and competitive advantages. Map, cleanse, and normalize raw, disparate blockchain data (transaction logs, smart contract events, state changes) into consistent, structured relational and non-relational schemes for consumption by analytics, machine learning, and AI tools. This role requires a unique blend of expertise in distributed systems, data engineering best practices, and a profound understanding of the crypto and decentralized ecosystem. What You’ll Do Maintain an AI-native and blockchain-forward mindset, proactively leveraging emerging trends and generative technologies to stay at the vanguard of the crypto revolution while maximizing work efficiency and uncovering novel, high-alpha data opportunities. Architect Intuitive Data Models: Turn the messiness of on-chain data into elegant, unified abstractions. You'll build the models that provide our users with granular, high-integrity insights across various protocols. Deconstruct DeFi Mechanics: Get under the hood of DeFi protocols. You'll reverse-engineer smart contracts and on-chain events, translating complex interactions into clean, production-grade SQL/dbt models. Scale Our Ecosystem Coverage: Lead the charge in indexing new blockchains. You’ll design the schemas that transform raw chain data into our internal "source of truth," ensuring every block is captured with 100% accuracy. Engineer Signal from Noise: Define the metrics that matter (TVL, Volume, Fees). You’ll be the gatekeeper of data quality, proactively identifying and filtering out wash trading, bot activity, and Sybil attacks. What You'll Need: Experience 3+ years hands-on in Data Science, Data Engineering, or a hybrid role; Blockchain or crypto analytics background strongly preferred, familiarity with on-chain data structures, transaction semantics, and asset classification; Streaming & Lakehouse Apache Flink or Spark Streaming building and operating real-time data pipelines; Apache Iceberg or Apache Hudi managing large-scale Data Lakehouses with schema evolution, time travel, and ACID guarantees over petabytes of raw blockchain data; AWS Data Platform S3 for scalable data lake storage; RDS for structured relational workloads; Spark SQL and PySpark for interactive querying and ad-hoc analysis; Caching & Distribution Familiarity with Data Grid technologies (e.g. Hazelcast, Apache Ignite, Redis) for high-throughput, low-latency data access patterns; Languages & Tooling SQL advanced query writing, window functions, query plan analysis, performance tuning at scale; Python Pandas, Polars for data wrangling; Scikit-learn for model development; Proficient in architecting high-throughput ingestion pipelines that leverage external data sources REST/WebSocket APIs, JSON-RPC node queries; Strong grasp of ETL fundamentals (extract, transform, load), including managing schema mismatches between heterogeneous sources and destinations; Engineering Mindset Systematic approach to debugging: reproducing issues, isolating root cause, validating fixes; Comfortable working with large, semi-structured, or undocumented data sources. Why Join Lukka? Are you looking for a challenge? Lukka solves the most complex data and technology challenges for an industry that is at the forefront of innovation. At Lukka, we strive to anticipate and respond to the needs of this new and ever-changing ecosystem of digital assets. That was true in 2014, while everyone was focused on trading & buying this new asset class, we were thinking about th