Python Data Engineer - Lead

Company: Algo Capital Group
Location: New York, New York, United States
Type: Full-time
Posted: 31.JUL.2021

Summary

Python Data Engineer - Lead Python Data Engineer - Lead for a global $30+ Billion AUM hedge fund, systematic and high-frequency trading th...

Description

Python Data Engineer - Lead


Python Data Engineer - Lead for a global $30+ Billion AUM hedge fund, systematic and high-frequency trading this is covering Equities, FX, Credit, Futures, and Commodities, an exciting role that has huge potential working for a top-performing fund working with the latest technology and constantly evolving.

Working on the investments team managing the data architecture which drives, source, enrich, and store data, own the entire data pipeline starting with designing the interfaces and APIs for the next level of machine learning and AI, design systems that solve the most critical problems and answer the most challenging questions in finance.


Responsibilities:


• Build, maintain and support a world class data processing


• Design, develop, test, and deploy elegant software solutions


• Analyze complex business and technical problems


• Make sound decisions proactively and in a self-directed manner


• Have experience leading a high performing team



Essential Qualifications:


• A deep passion for technology and software development


• In depth experience working in modern Python


• Experience working with relational databases such as SQL


• Absolute dedication to automation, test coverage, and monitoring.


• Strong ability to debug code and triage production issues


• Strong communication and interpersonal skills


• The ambition to solve open-ended problems using analytical methods

Excellent salary and bonus on offer, working for a business with consistent positive returns, a team that is no politics, and employees rewarded on merit you will have substantial autonomy to lead a crucial area that is critical to trading development.



For a confidential discussion please email Flora, to

 
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