안녕하세요, Machine Learning 기반의 빅데이터 분석 솔루션을 만드는 Solidware에서 데이터 엔지니어를 채용하고 있습니다. What we do Solidware makes big data analytics solutions to build predictive models based on machine learning technology, for any companies who do not have access to state-of-the-art machine learning. Our primary targets are financial companies who need powerful risk prediction models. Along with world-class Machine Learning Scientists, with our CTO receiving the Best Paper Award at 2009 CVPR Conference, you will be able to learn/participate in Machine Learning projects. Solidware is looking for a “Rockstar” Data Engineer to help build, scale and maintain the critical ETL (Extract, Transform, and Load) process. The ideal candidate will have a deep understanding of technical and functional designs for Databases and Data Mining areas. The Role The Data Engineer should be an expert familiar with all of the ETL steps. The ideal candidate will be responsible for developing process to extract, transform, and load any incoming data sets for data scientists to work on. The individual is expected to build efficient, flexible, extensible, and scalable ETL design and mappings. Excellent written and verbal communication skills in both English and Korean are preferred. Also, if selected, you will be given with a quick quiz to show off your data skills before the interview. Responsibilities Include  Collaborate with business users on requirements, objectives and measures to understand each data set  Responsible for data design, data extraction and transformation  Make detailed documentation on each data set for the data scientists/analysts to read and understand the key information Basic Qualification  At least Bachelor's Degree in Computer Science. Master’s or Ph.D in CS preferred  Proficient in at least one of the following: C++, Python, Matlab, or JavaScript  Experience in building an end-to-end ETL pipeline