- Work with team members to understand feeds handlers' development process with focus on QA monitoring with automation.
- Get familiar with existing testing procedures
- Improve and automate testing procedure
- Use python/C++/C languages
- Store all QA properties in AWS S3 or Google Cloud bucket
- Create platform to support implemented tools
- Get Familiar with existing testing procedures and work with team members to understand the framework
- Pursuing a degree in one of the following majors:
- Computer Engineering/Computer Science, Mathematics, Business Intelligence, Data Analytics/Data Science, Finance, Financial Engineering, Statistics or related subject
- experience with python/C++/C languages
- understanding of AWS S3 or Google Cloud buckets
- basic understanding of cloud technologies
- experience with Unix/Linux & file system
- understanding of engineering processes
- understanding of agile principles
- Anticipated graduation date of June 2025
- Must be self-motivated; a self-starter or problem-solver.
- Must be a clear communicator.
- Experience working in remote linux environments
- Experience writing regression/integration tests
- Experience with Git or other version control system
- experience with AI processes
- experience with QA automation
- experience with AWS services
- experience with GCLOUD services
- experience with OpenSearch
- experience with JSON protocol
- experience with XML protocol
- experience with software development
- Knowledge of SQL
- A data storyteller or narrative finder
Intern - Heredia, Costa Rica - Moody's
Descripción
Team Overview
The Data Solutions division is the commercial data business of Moody's Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world's most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody's Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.
Overview of role/responsibilities for the intern
This is intended to be a brief overview, to help the candidate get a better idea of the type of work they'll be doing this summer.
The intern will be exposed to the different but necessary stages of software engineering that are needed to process and test real-time news for our customers.
Qualifications:
Please keep in mind these are intern candidates, identify "must-have's vs. nice to have's.
Must-Haves:
Nice to Haves: