Senior On-chain Data Engineer

2 weeks ago

Singapore Hermeneutic Investments Full time

**Job Overview**

We are a forward-thinking crypto hedge fund leveraging cutting-edge technology and data-driven strategies to capitalize on opportunities in the digital asset markets. Our data analytics team is critical to our success, supporting our research and trading teams with on-chain insights and actionable analytics.

This is an opportunity to:

- Work with complex blockchain datasets across multiple chains and L2s.
- Build dashboards and reports to support trading strategies.
- Create data-driven signals and metrics to inform decision-making.
- Collaborate with top researchers and traders in the crypto space.

This role will directly impact the research and trading strategy by creating clean, reliable data systems and actionable on-chain analytics.

**Responsibilities**

**Data Pipelines and Infrastructure**:

- Build and optimize scalable pipelines for ingesting and transforming blockchain data.
- Design and maintain Snowflake data warehouses for high-volume blockchain datasets.
- Use DBT to implement efficient data transformation workflows.
- Ensure cross-chain data consistency and quality with rigorous validation processes.

**On-Chain Data Analysis**:

- Extract, clean, and process blockchain data from L1s, L2s, and cross-chain protocols.
- Work with logs, events, smart contract interactions, and transaction-level data.
- Analyze activity related to DeFi protocols, token flows, liquidity dynamics, and wallet activity.
- Use tools like The Graph and Dune Analytics for querying blockchain data.

**Collaborate with Researchers**:

- Partner with on-chain researchers to design datasets and metrics for alpha generation.
- Develop indicators, wallet attribution models, and analytics to support trading ideas.
- Build dashboards and visualizations to make on-chain datasets accessible and useful for research.

**Python Development**:

- Write scripts for data extraction, cleaning, and transformation.
- Support real-time blockchain event monitoring and integration with research workflows.
- Utilize Web3 libraries (e.g., Web3.py) to interact with blockchain RPCs and APIs.

**Qualifications**

**Data Engineering**:

- Strong experience with Snowflake for data warehousing and DBT for data modeling and transformation.
- Proven ability to design and maintain scalable pipelines for large datasets.

**Blockchain Datasets**:

- In-depth knowledge of blockchain architectures, event logs, and DeFi protocols.
- Hands-on experience working with blockchain RPCs, indexers (e.g., The Graph, Dune Analytics), and smart contract data.
- Familiarity with tokenomics, liquidity pools, cross-chain protocols, and transaction-level data.

**Research Support**:

- Ability to collaborate with researchers to design and deliver data-driven insights.
- Experience working on wallet attribution, on-chain metrics, and actionable signals.
- Strong understanding of DeFi ecosystems and blockchain-specific trading dynamics.

**Python Development**:

- Proficiency in Python for data processing and pipeline development.
- Familiarity with Web3 libraries like Web3.py or Ethers.js is a plus.

**Interview Process**
- 1st round: Technical and cultural screening by Senior Blockchain Researcher
- 2nd round: Screening by Senior Blockchain Researcher and/or Engineering project
- 3rd round: Discussion with Senior Blockchain Researchers about project
- 4th round: Cultural and fit by our CIO.

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