Content Engineering department is responsible for all data collection within FactSet as well as making this available to our clients and other departments. The department is looking into fostering cloud infrastructure and technologies to revamp the processes and leverage the Datalake concept as a unique storage for all acquired/extracted documents to source all collection systems whatever their core content. The team aims at providing APIs and services to feed the datalake, to browse its contents in a structured way but also to cross check and data mine any valuable information that would be tagged already of interest for another content. This will ultimately allow for better material and servicing for cognitive computing, data analysis and data collection processes to filter, select and extract other metadata.
At least one year of professional experience after graduation Strong experience and proficiency with Python, Pandas, Numpy and AWS APIs
Experience with client server architectures, serverless apps and stateless apps
Experience in cloud technologies, specifically AWS
Proven ability to adapt to changes in requirements and learn new tools and practices where needed
Ability to contribute to code review feedback for other engineers and contribute to forward design ideas Ability to communicate effectively with peers within the organization