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Job Portal Platform Enhancement and Automation Project

light-it.net

Human Resources

Information technology

Business Challenges

The client faced challenges with a lack of skilled tech experts for ongoing development and maintenance of their job portal platform. Existing web and mobile applications suffered from performance issues, operational inefficiencies, and usability flaws. Manual data processing from various sources (emails, third-party services) significantly impacted productivity and scalability. Automation of key processes was lacking, requiring extensive manual intervention.

About the Client

A leading job portal and HR technology provider in Germany and Austria, connecting small and mid-sized businesses with job seekers. They offer a web-based platform and mobile apps, focusing on efficiency and ease-of-use.

Project Goals

Enhance the performance and scalability of the existing job portal platform (web and mobile).
Automate data import processes from multiple sources (JSON, XML, email, third-party APIs).
Improve data quality and accuracy through data parsing, validation, and standardization.
Develop and implement new features to enhance user experience (job seekers and employers).
Strengthen integration capabilities with external systems (Federal Employment Agency).

Functional Requirements

Automated data import from various sources (JSON, XML, email, third-party APIs).
Intelligent data parsing and standardization.
Job seeker and employer notification systems.
Reporting and analytics dashboards.
Advanced search and filtering capabilities.
Integration with the Federal Employment Agency (BA).
User account management (job seekers and employers).
Content Management System (CMS) for easy content updates.

Preferred Technologies

Python

Django

PostgreSQL

Solr

Redis

Swift

Kotlin

React.js

Required Integrations

Federal Employment Agency (BA) API
Email service providers (for email parsing)

Non-Functional Requirements

High performance and scalability to handle large volumes of data and users.
Secure data storage and transmission.
Reliable and fault-tolerant operation.
Maintainability and extensibility for future feature additions.
User-friendly interface for both web and mobile platforms.

Expected Business Impact

This project is expected to significantly improve the efficiency of the client's operations by automating manual tasks, reducing operational costs, and improving data quality. Increased automation will free up internal resources to focus on strategic initiatives and enhance the platform's features. Improved data accuracy and faster processing will lead to a better user experience for job seekers and employers, strengthening the client's position in the market. The ability to rapidly adapt to evolving regulatory requirements (e.g., BA integration) will ensure continued compliance and market relevance.