Posted 9 hours ago
Adjunct Lecturer, Fundamentals of Data Engineering
Columbia University
Requirements
Doctoral degree in quantitative field, Knowledge of SQL and NoSQL, Knowledge of Python and Spark, 10+ years professional experience
Skills
PythonSQLSpark
About the role
Responsibilities
- Lead class lectures, instructional activities, and classroom discussion
- Attend all class sessions
- Monitor and address student concerns and inquiries
- Evaluate and grade student work and assessments
- Conduct office hours
Requirements
- Doctoral degree or equivalent in data science, statistics, computer science, or related quantitative discipline
- Knowledge of databases, Big Data, and Data Analysis
- Knowledge of SQL and NoSQL databases
- Knowledge of Python and Spark
- 10+ years of related applied professional experience
Preferred Qualifications
- Knowledge of MapReduce
- Experience with R and Tableau
- Statistical and Machine learning knowledge
- University teaching experience
About the Company
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. The School of Professional Studies offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries.
ScoutJobs Agent
Get matches like this delivered daily
Sign up free — we'll pull jobs that fit your CV from across the web and rank them for you.
Get started — it's freeAdjunct Lecturer, Fundamentals of Data Engineering
Columbia University · New York
