Data Engineering Internship

Selected intern's day-to-day responsibilities include:

1. Coding & scripting proficiency in languages such as Python, R, C++, or Java & API integration
2. Working to learn and develop data pipelines by ingesting various data sources structured and un-structured into Palantir/AWS
3. Participating in the end-to-end project lifecycle, from requirements analysis to go-live and operations of an application
4. Acting as a business analyst for developing requirements for Foundry pipelines
5. Reviewing the code developed by other data engineers and check against platform-specific standards, cross-cutting concerns, coding and configuration standards, and functional specification of the pipeline
6. Documenting the technical work in a professional and transparent way and creating high-quality technical documentation
7. Implementing of changes and bug fixes via Merck's change management framework and according to system engineering practices
8. Working on a DevOps project setup following Agile principles (e.g. Scrum)
9. Acting as third-level support for critical applications; analyze and resolve complex incidents/problems
10. Debugging problems across a full stack of Foundry and code based on Python, Pyspark, and Java
11. Working closely with business users, data scientists/analysts to design physical data models

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