Provide first line of defense and troubleshoot technical support issues for external researchers on the analytical environment (Jupyter Hub + Kubernetes) and EMR Spark cluster on AWS. Common tasks including: helping resolve login/access issues, ensure system is up and running, address questions from researchers, and verifying reported bugs.
Be able to Response, Investigate, Classify and Escalate (a.k.a. RICE) incoming technical support requests for the Engineering team.
Keep the documentation and instructions up to date.
Programming skills: Python for data analytics (must have), R Studio (good to have);
Strong communication and client facing skills, as this role will work directly with external research partners;
Good reading and writing skills in order to read internal/proprietary manuals and convert/maintain external documentation and wiki;
Familiar with GitHub, JupyterHub, Jupyter Notebook, EMR, Spark and AWS cloud architecture;
Understanding of Kubernetes, OAuth, , descriptive statistics are plus;
Bachelor's in Computer Science, Information Science, or Data Science