Data Engineer Data Engineer …

AscendEX
in New York, NY
Permanent, Full time
Last application, 03 Dec 21
Competitive
AscendEX
in New York, NY
Permanent, Full time
Last application, 03 Dec 21
Competitive

Details: A leading cryptocurrency financial platform built by a group of Wall Street quant trading veterans is seeking an experienced Data Engineer to join our New York office. The Data Engineer will collect and transform data across the firm’s different business lines and build data pipelines to automate the data extract, transform, load (“ETL”) process.

About AscendEX:
AscendEX (formerly BitMax) is a global cryptocurrency exchange with a comprehensive product suite including spot, margin, and futures trading, wallet services, and staking support for over 150 blockchain projects such as bitcoin, ether, and ripple. Launched in 2018, AscendEX services over 1 million retail and institutional clients globally with a highly liquid trading platform and secure custody solutions.

AscendEX has emerged as a leading platform by ROI on its “initial exchange offerings” by supporting some of the industry’s most innovative projects from the DeFi ecosystem, such as Thorchain, xDai Stake, and Serum. AscendEX users receive exclusive access to token airdrops and the ability to purchase tokens at the earliest possible stage.

To learn more about how AscendEX is leveraging best practices from both Wall Street and the cryptocurrency ecosystem to bring the best altcoins to its users, please visit www.AscendEX.com.

Key Responsibilities:

  • Collect and transform data across the firm’s different business lines
  • Build data pipelines to automate the data ETL process. Build data warehouses to store heterogeneous data and develop tools to improve query performance
  • Analyze business results and prepare reports to support the firm’s decision making
  • Create dashboards for monitoring the data pipeline’s performance and health and key business performance metrics

Requirements:

  • 3 years or more years of professional experience
  • Advanced working experience with SQL and relational databases. Familiarity with NoSQL databases is preferred but not required
  • Coding experience with at least one statistical language: R, Python, Julia, etc
  • Good scripting skills to run quick data checks and build data pipelines
  • Knowledge of statistical and data mining techniques
  • Ability to work with large datasets and complex data formats
  • Experience with data visualization tools and presenting results for stakeholders
  • Bachelor's degree in computer science, math, statistics, physics, or related major
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