Data Engineer (Lambda Startup)
КОНКОРДИА
- Нур-Султан
- Постоянная работа
- Полная занятость
- Track token balances and DeFi positions across multiple chains
- Analyze historical and real-time rewards
- Accurately calculate PnL and uncover hidden costs (e.g., slippage, rebalancing, fees)
- Compare strategies and pools across protocols with confidence
- Design, maintain, and scale streaming ETL pipelines for blockchain data.
- Build and optimize ClickHouse data models and materialized views for high-performance analytics.
- Develop and maintain data exporters using orchestration tools.
- Implement data transformations and decoding logic.
- Combine multiple data sources — indexers and Kafka topics from third parties — to aggregate them into tables for our API.
- Establish and improve testing, monitoring, automation, and migration processes for pipelines.
- Ensure timely delivery of new data features in alignment with product goals.
- Create automation tools for data analyst inputs, such as a dictionary, to keep them up to date.
- Strong SQL skills with columnar databases (ClickHouse, Druid, BigQuery, etc.).
- Hands-on streaming frameworks experience (Flink, Kafka, or similar).
- Solid Python skills for data engineering and backend services.
- Proven track record of delivering pipelines and features to production on schedule.
- Strong focus on automation, reliability, maintainability, and documentation.
- Startup mindset: keep balance between speed and quality.
- Experience operating ClickHouse at scale (performance tuning, partitioning, materialized views)
- Experience with CI/CD and automated testing for data pipelines (e.g. GitHub Actions, dbt)
- Knowledge of multi-chain ecosystems (EVM & non-EVM)
- Familiarity with blockchain/crypto data structures (transactions, logs, ABI decoding).
- Contributions to open-source or blockchain data infrastructure projects.
HeadHunter