Data Engineer The Job Details are as follows: ROLE OVERVIEW: The Data Intelligence Group at Balyasny Asset Management is seeking a Data Engineer to help build out a Data Acquisition Platform that empowers our Product and Data Science teams to deliver timely and accurate data. The data acquired by this platform drives investment decisions across the firm. The optimal candidate will have some hands-on development experience with an excellent technical background. The candidate will have a penchant for building maintainable and scalable systems. In the role of Data Engineer, the employee will be responsible for the following: * Designing, building, and administering our Data Acquisition Platform to ensure smooth day-to-day operation over hundreds of data sets * Working directly with Product and Portfolio Managers to understand our customers data needs and provide end-to-end data solutions that address requirements * Investigate data issues, working with data providers to ensure seamless interconnection between different data sets * Full lifecycle development including requirement, architecture, implementation, testing, and release * Develop written documentation of infrastructure including processes and procedures * Help to develop and test robust business continuity/disaster recovery processes * Perform with minimum supervision, exercising sound judgment * Help identify and automate manual processes QUALIFICATIONS & REQUIREMENTS: In order to effectively represent the Company and communicate with clients, the employee must be someone who has: * Degree in Computer Science or closely related field, or Code School graduate * 0-2 years professional development background * Experience with Python, Java, C# or similar language a plus. * Unix (Linux) and database experience (SQL, MySQL, PostgreSQL, redis) * Familiarity with object oriented development approach * Analytical skills Ability to troubleshoot and logically assess problems and determine solutions * Documentation skills ability to represent ideas, requirements, and problems in clear and concise documents