Arbelos Solutions - Full Stack Software Developer - Python/Data Science (5-7 yrs)

Hi All,.

We do have opening Full-Stack Software Developer (Python) for Data Science.

Arbelos Solutions is a world class tech start-up with its presence at various domestic and international locations.

Our expertise lies in :

- OSS/BSS solution provider.

- Software & Web Development.

- Enterprise Solutions.

- Mobile App Development.

- Digital Marketing & Transformation.

- Business support system.

- Full-Stack Software Developer (Python) for Data Science.

Remote Work.

Experience: 5 Years.

Job Description Full-Stack Software Developer (Python) for Data Science.

Team Key Deliverables:.

Cloud Engineering: Development of indexing pipelines using Azure AI Search.

Document Management: Implementation of access permissions for individual documents.

Design and Development of Multi-Tenancy: Conceptualization and implementation of multi-tenant capabilities in the existing system.

Tasks 1 :

- Development of a Stable Software Architecture on the Existing Azure Data Platform Further develop the WebApp, databases, and functions.

- The existing Web Apps use Python tech stack, specifically Streamlit.

- A basic Web App in Streamlit already exists and is currently in test use.

- Additional aspects of UX design are to be implemented.

- In the long term, load testing may become relevant to support a transition to a more powerful front-end framework if needed.

- Use Blob triggers to process each new document as it appears.

- Other trigger types may also be evaluated for future needs.

- Set up and automate an indexing pipeline in Azure AI Search.

- Design indexing algorithms: An online indexing algorithm is to be developed and further enhanced.

- Various algorithms need to be tested and selected for different types/classes of documents.

- This concept is to be developed particularly about productive deployment and live operation.

- Implementation takes place in Azure on the DaTIF platform and utilizes Azure Open AI Search, among other tools.

- Implementation of Document Management/Versioning/Handling of Current Files.

- Implement access permissions for individual documents.

- Execute using internal identity management system (IDM).

- Integrate rights management into the SharePoint infrastructure: The authorization structure established in SharePoint should be transferred to Azure and be considered as part of document management in Azure.

- Development of Multi-Tenancy for the Existing Azure Infrastructure.

- Implement separate data storage for different customers: In addition to the authorization structure, separate data storage with separate infrastructure (SharePoint/Azure AI Search) should be implemented for new tenants.

- The first step is to develop a concept for tenant capability.

- Develop simple configurability: Onboarding a new tenant is sufficiently managed by configuring a configuration file.

- A "push of a button" is not required.

Skills :

- Python, experience with Streamlit.

- Azure engineering, Azure AI Search.

- CI / CD Pipeline, GIT Repository.

- Azure DevOps.