Posted:1 day ago|
Platform:
On-site
Full Time
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. Requirements 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). Nice To Have 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. This job was posted by Utsav Agarwal from Sharpe Labs. Show more Show less
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