Job Description
<h3>📋 Description</h3> • Build & optimize data models (dbt or equivalent) for Uniswap, hook protocols and broader DEX metrics, ensuring accuracy, consistency and performance
• Develop & maintain pipelines to Ingest onchain events, API feeds and third‑party sources into Dune/BigQuery/Snowflake, with monitoring and alerting
• Optimize pipeline health: Implement monitoring, alerting and root‑cause workflows to quickly detect and resolve data issues
• Collaborate & iterate: Partner with Data Analysts, Growth and Research teams to refine schema, metrics and dashboards making data intuitive to query and interpret
• Centralize data sources: Merge disparate feeds into a unified repository while provisioning data to where it’s needed
• Plan & build in‑house models: As needed, gradually transition transformations into BigQuery or Snowflake design schemas, materializations and deployment workflows
• Champion best practices: Contribute to open standards in the Uniswap and DEX communities
• Stay current: Evaluate emerging data‑engineering tools and cloud services (BigQuery, Snowflake, AWS/GCP) and recommend enhancements to our stack <h3>🎯 Requirements</h3> • Proficiency with modern cloud platforms (e.g., BigQuery, Snowflake, AWS, GCP, or Azure) and experience with both OLTP and analytical databases such as PostgreSQL or ClickHouse
• Experience building subgraphs or equivalent custom indexers (e.g., The Graph, Ponder)
• Experience building and exposing internal/external Data APIs and deploying containerized workloads using Docker and Kubernetes
• Advanced degree in Computer Science, Data Engineering, or a related technical field