Data Engineering Intern
1. Data Engineers build fast, scalable and robust architecture for the purpose of gathering, organizing, storing and setting up the woodwork. This is used as a basis by statisticians, economists, Scientists to do their analysis.
2. Data Engineers work will also involve natural language processing, turning semi-structured data into highly structured machine-readable form in databases. DE's should know Distributed file systems, Data Wrangling, Natural Language Processing, Pandas, Elasticsearch, NodeJS, MongoDB.
Analytics Software & Statistical Consulting.
We use Statistical Modeling and Data analysis techniques to solve business problems which help companies and institutions create value for their clients and consumers.