Participating in code review and writing rigorous test cases to maintain code qualityand ensure adherence to best practices in software engineering and DevOps
Requirements
Bachelors degree or above in a STEM field
3+ years of experience working with ETL tools or data pipelines in productionenvironments
Experience in data analytics, SQL, Python and related libraries and tools (Pandas,NumPy)
Familiarity with Typescript, Node.js, Next.js, Ethers.js
Experience building end-user facing data dashboards and using data visualizations toaid user decision making
Knowledge of current best practices and understanding of trends and technicalprogression of data analytics
Familiarity with test driven development and frontend testing frameworks
Experience working autonomously in cross functional teams on different projects
Good time management, prioritization, and communication skills
Preferred
Hands on experience using data analytics tools such as The Graph, Covalent,Quicknode, or Alchemy
Understanding of DeFi concepts and protocols from an end-user perspective
Understanding of the full tech stack of a dApp
Understanding of Solidity, web3.js, BigNumber.js and The Graph (optional but you areexpected to pick these up quickly with support from other devs)
Tech Stack
Typescript, Next.js, Node.js
Ethers.js, web3.js, BigNumber.js
Python (Pandas, NumPy)
SQL, GraphQL
Hardhat, Solidity
The Graph
Application options
If you're interested in this role, click 'Apply' now. For further information and a confidential discussion, you can email Winston Tse at
