Blockchain Data Wizard
AltiumFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position is hybrid.
Required skills include exceptional proficiency in SQL for complex data extraction, 2+ years of professional experience in a Data Scientist, Data Engineer, or relevant analytical role, and mastery of a cutting-edge technical stack including Python, Snowflake, DBT, Airflow, and Generative AI tools.
Ledger has a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions, with a team united by innovation, security, and decentralization in the Web3 ecosystem.
The Data team leverages data to drive strategic business decisions and enhance product offerings, handling end-to-end data projects from defining metrics and building data pipelines to deploying analytical models and monitoring company performance.
Candidates with 2+ years in a Data Scientist, Data Engineer, or relevant analytical role, exceptional SQL proficiency, and experience with blockchain data analysis and tools like Python, dbt, Airflow, Snowflake, and Tableau stand out.
Digital asset security and management solutions
Ledger specializes in the security and management of digital assets and Web3 technologies. The company offers a range of hardware wallets, including the Ledger Stax, Nano S Plus, and Nano X, which allow users to securely store and manage their cryptocurrencies. These wallets work by keeping private keys offline, ensuring that users have full control over their digital assets while protecting them from online threats. Ledger differentiates itself from competitors by securing 20% of the world's crypto assets and serving over 100 financial institutions, making it a trusted name in the industry. The company's goal is to empower individuals and institutions to achieve financial freedom by providing secure and user-friendly solutions for buying, storing, and managing crypto assets.