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

• 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/Ali Cloud 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