Quant Developer

Sharpe Labs


Date: 13 hours ago
City: Delhi, Delhi
Contract type: Full time
Remote
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.
  • 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

  • Master's degree in Computer Science, Finance, or 2+ years of experience in finance data, backend systems, or similar 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).

This job was posted by Utsav Agarwal from Sharpe Labs.

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