Overview
Responsibilities
- Design, build, and maintain scalable data pipelines and streaming systems.
- Develop real-time WebSocket and API integrations for data ingestion and delivery.
- Manage and optimize relational and non-relational databases for performance, reliability, and scalability.
- Collaborate with AI and product teams to build quantitative models and serve them in production environments.
- Design, build, and maintain robust ETL/ELT pipelines for ingesting and transforming on-chain and off-chain data.
- Build a real-time data streaming infrastructure using tools like Kafka or equivalent.
- Architect and optimize relational and non-relational databases to support complex queries and financial data models.
- Collaborate with product and analytics teams to design and deploy quantitative models for TVL, yield tracking, protocol metrics, etc.
- Implement tools and practices to ensure data integrity, quality, and observability across the platform.
- Contribute to our indexing infrastructure, working with smart contract data, subgraphs, or custom indexers.
- 3+ years of experience in data engineering, backend systems, or infrastructure roles.
- Strong knowledge of databases (SQL, NoSQL) and experience with data modeling and schema design.
- Proficient with PostgreSQL, TimescaleDB, or other time-series/analytical databases.
- Hands-on experience with stream processing frameworks (Kafka, Flink, etc. ).
- Expertise in building and consuming RESTful APIs and WebSocket protocols.
- Familiarity with blockchain data or financial data.
- Strong programming skills in Python or Go.
- Experience with quantitative finance modeling, DeFi metrics, or financial KPIs is a strong plus.
- Solid understanding of cloud infrastructure (e. g., AWS, GCP, or similar).
- Experience with subgraphs, The Graph, or building custom blockchain indexers.
- Background in data visualization platforms or interactive dashboards.
- Knowledge of DeFi protocols, tokenomics, and governance systems.
- Prior experience working in a fast-paced startup or early-stage product environment.
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