What You’ll Do

📍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. 📍Establish and improve testing, monitoring, automation, and migration processes for pipelines. 📍Ensure timely delivery of new data features in alignment with product goals. 📍Combine multiple data sources — indexers and Kafka topics from third parties — to aggregate them into tables for our API. 📍Create automation tools for data analyst inputs, such as a dictionary, to keep them up to date. 📍Collaborate within the team to deliver accurate, reliable, and scalable data services that power the Lambda app.

Tech Stack

📍Streaming & ETL: Managed Flink-based pipelines (real-time event & transaction processing), Apache Kafka 📍Data Warehouse: ClickHouse (Cloud) 📍Workflow orchestration: Airflow 📍Programming: Python (data processing, services, automation) 📍Domain: Multi-chain crypto data (EVM & non-EVM ecosystems) 📍4+ years in Data Engineering (ETL/ELT, data pipelines, streaming systems).

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