Address- 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.
