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Subgraph Data Review Quality Assurance QA
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Subgraph Data Review....
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drjobs Subgraph Data Review Quality Assurance QA العربية

Subgraph Data Review Quality Assurance QA

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1 Vacancy
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Jobs by Experience

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1 - 0 years

Job Location

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Manama - Bahrain

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Nationality

Any Nationality

Gender

N/A

Vacancy

1 Vacancy

Job Description

Req ID : 2479856

Requirements

Must haves:

  • DeFi knowledge
  • Familiarity with various DeFi protocols like:
    • Uniswap
    • Curve
    • Convex
  • Understand basic DeFi concepts like:
    • TVL
    • Yield farming
    • Liquidity
  • Proficient in written English.

What You’ll Be Working On

Goal

Messari is using The Graph as a data source and building subgraphs for each protocol to query on-chain data in a standardized manner. You can see the subgraphs in our repo here:

Before using the subgraphs, we need to verify their data quality to ensure data is accurate. If there are any errors, these need to be fixed by our developers.

Task

When a Subgraph is ready for review, go to and select the Subgraph.

Note that Subgraphs exist per-protocol, per-network. For a protocol like Uniswap v3 which is deployed on Ethereum, Matic, Optimism and Arbitrum, there are 4 separate subgraphs which need to be reviewed. Each view represents Uniswap v3 on a specific network.

Compare each metric in the subgraph against other data sources available. Some common resources have been listed below (not exhaustive):

  • Native Analytic Tools (e.g. )
  • Dune Dashboards ()
  • Token Terminal (
  • Footprint Network ()
  • DeFi Llama ()

If there are no other data sources available, the data verification will need to be done heuristically. This can be done in multiple ways, for example comparing the metrics to a protocol of similar size and sense-checking their values are similar (TVL, revenue, etc.).

For each metric, evidence/references/resources should be submitted to clarify how the data was verified. Metrics need to be verified at both the Protocol AND Pool-level across multiple dates, and identifying if chart trends are the same/similar is also useful.

Employment Type

Full Time

Department / Functional Area

Administration

Key Skills

About Company

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