Cutting edge big data technology with Spark, Map Reduce, EMR, Distributed Pipeline? Check. Deep involvement with business strategy decision? Check. Work in one of the world's largest and most complex data environments? Check. Are you excited about the idea to work with huge invaluable big data resources and big data technologies? Are you up to the challenge of working with top economics/ML researchers to bring the front tier economic theories, top industry big data and the cutting edge big data technology together and redefine key business strategy making? Do you want to be part of the pioneer effort to combine the engineering, ML and economics to create disruptive impact on the industry? If your answer is yes, come join us! As Data Engineer, you will collaborate with research scientists and software engineers across the company to develop, test and deploy a wide range of econometric and ML models. You will face our ever-growing information challenges and provide solution to our analytics,
· Bachelors or Masters Degree in Computer Science, Information Systems or related field. · 7+ years experience in Data Engineering or Business Intelligence roles, including at least 3 years of experience with large scale business intelligence and data warehouse environments preferably including Big Data technologies, e.g., Spark. · 5+ years of expert level data modeling, ETL and SQL skills, knowledge of industry best practices, and a deep understanding how data is extracted, transformed, scrubbed and loaded in a large Data Warehouse environment. · 5+ proven experience building and managing large