Nansen is a blockchain analytics platform that enriches on-chain data with millions of wallets labels. Crypto investors use Nansen to discover opportunities, perform due diligence and defend their portfolios with our real-time dashboards and alerts.

About the role

As a Data Quality Engineer you would be a crucial member of our 8 person Attribution Team, working towards attaining the deepest knowledge of behaviour on Ethereum and EVM chains.

Quality is very important to us and the Nansen community, and your contributions to the team will therefore have a big impact.

You can be located anywhere in the world, as our work is 100% online.

The position is full-time.

What will you be doing?

You will be responsible for maintaining and measuring data quality in our Attribution datasets. This includes:

  • Taking initiative and being responsible for data quality processes
  • Defining and maintaining automated tests to continuously monitor data quality
  • Designing, developing and supporting various data pipelines in both batch and streaming modes
  • Collaborating with and influencing stakeholders to ensure our data quality meets constantly evolving requirements
  • Writing and reviewing technical documentation and specifications used by the whole team

Are you the right person for this role?

The ideal candidate for us has:

  • 3+ years work experience as a data quality engineer, software quality engineer or similar role
  • direct experience with the crypto markets (either professionally or as a hobby)
  • experience designing data models and data warehouses and using SQL
  • experience with API testing
  • an eye for detail, but is pragmatic and able to get things done fast
  • an ability to self-organize in a remote-first work environment
  • experience with BigQuery, dbt and Python

Nansen is an analytics platform for blockchain, which combines on-chain data with a massive and constantly growing database containing millions of wallet labels. Customers use Nansen to access this data via user-friendly dashboards.

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