
Senior Data Engineer, Graph Analytics
Posted Jul 28

Posted Jul 28
This is a fully remote position, open to applicants in North America.
• Develop scalable graph systems to analyze networks of cryptocurrency transactions.
• Partner with engineers and data scientists to craft graph algorithms.
• Execute real-time graph algorithms utilizing distributed databases.
• Discover opportunities to leverage graph theory in predictive learning challenges.
• Investigate new graph-native technologies and assess their advantages for teams.
• Comprehend and enhance risk models associated with cryptocurrency transactions.
• Clearly convey intricate implementation details to a variety of stakeholders.
• Educational background in a quantitative discipline such as Computer Science, Mathematics, Engineering, or Physics.
• In-depth understanding of algorithm design and data structures.
• Experience in optimizing large-scale distributed data processing systems like Apache Spark, Apache Hadoop, or Dask.
• Proven experience in transforming academic research into marketable products.
• Proficient programming skills in Python and SQL.
• Exceptional communication abilities tailored for both technical and non-technical audiences.
• Self-driven with the capability to work independently and navigate ambiguity.
• Familiarity with fundamental graph theory concepts.
• Contributing to a safer world through AI-driven intelligence solutions.
• Flexible work arrangements.
• A culture of trust, transparency, and adaptability.
• Regular communication and collaboration.
Railroad19
GFT Technologies
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