Data Engineer Internship

Requirements Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres) Experience building and optimizing 'big data' data pipelines, architectures and data sets Solid understanding of information retrieval, statistics and machine learning. Experience with Computer Vision and NLP is a plus Prefer 1+ years in big data and related technology (e.g. DFS); experience with high-performance and scalable distributed system Prefer experience with AWS cloud services: EC2, EMR, RDS, Redshift Skillful with automation tasks, but willing to get hands dirty for quality control Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and challenge; good communication skills and team player Experience supporting and working with cross-functional teams in a dynamic environment MS, BA/BS degree in computer science, statistics or related field What the job involves Create and maintain optimal data pipelines to support machine learning research and development Identify, design, and implement internal process improvements: automating data QA, optimizing data delivery, re-designing infrastructure for greater scalability, etc Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/AliCloud big data technologies Build analytics tools that utilize the data pipeline to provide actionable insights into product utilization and operational efficiency Keep our data separated and secure across national boundaries both locally and on cloud storage J-18808-Ljbffr