Deadline:
As soon as possible
Location(s)
France
France, Paris, 32 rue Blanche
Overview
Details
FactSet Research Systems is an American financial data and software company, providing wide universe of financial data and services with the help of innovative Financial and Statistical data collection.
Project Overview:
The internship project involves developing an API from scratch using FastAPI and using existing AWS resources. It also includes building a monitoring system for the requests sent to the service.
The service is crucial for onboarding new teams onto our pipeline and plays a key role in reducing support and manual intervention for on-demand requests.
Responsibilities:
Backend Development:
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Build a queueing-based service to trigger data extraction process.
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Build a FastAPI that will trigger and return the status of the extraction process.
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Build a scalable service which is easy to use, and provides all necessary information for monitoring and debug.
Monitoring and Management:
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Develop features to monitor runs, or workflows where found errors are pushed.
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Integrate Kibana to display related logs for different runs efficiently.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Qualifications:
- Current student or recent graduate in Computer Science, Information Technology, or a related field.
- Experience in Python and familiarity with FastAPI for backend development.
- Basic understanding of data models and database management.
- Basic understanding of AWS infrastructure
- Familiarity with QA processes and tools like Kibana is a plus.
- Good problem-solving skills and an eye for detail.
- Ability to work collaboratively in a team environment.
Dates
Deadline: As soon as possible
Cost/funding for participants
What We Offer:
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Mentorship and guidance from experienced developers.
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Exposure to real-world projects impacting data integrity and quality.
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Opportunity to develop a comprehensive understanding of full-stack development.
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Hands-on experience with modern web technologies and frameworks.
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Good work/life balance
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An emphasis on continuous learning and professional development
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And more!
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