Posted in: Engineering in Minnesota | Posted: |
Job Description
Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) into a form suitable for analysis.
Gathers, analyzes, documents and translates application requirements into data models.
Builds data models.
Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies.
Use python to design and execute data engineering pipelines
Work with researchers to understand the requirements for data provisioning and then provision the data in a secure and governed fashion.