Problem Statement

The company faced challenges in managing dispersed job listings, which were scattered across various sources. Without a centralized platform, it was difficult to track and manage the listings effectively. This resulted in inefficiencies and a cumbersome user experience for job seekers and recruiters.

Approach & Solution

To address these challenges, we developed a robust data aggregation platform using Google Cloud Platform (GCP) technologies.

We integrated Google Cloud Storage to store over 50,000 job listings, centralizing data from multiple external sources.
SERP API was utilized to pull job data from different websites and platforms, ensuring up-to-date information.
Cloud Functions automated the data ingestion and processing, streamlining the workflow for continuous updates to job listings.
BigQuery was employed for fast querying and analysis of job data, while Looker Studio dashboards provided easy-to-navigate visualizations for recruiters to search and analyze listings efficiently.

Results & Outcomes

The centralized platform consolidated 50,000+ job listings, reducing manual work and increasing job listing visibility. Automated data processing saved 15 hours per week previously spent on manual job data management, allowing the team to focus on higher-level tasks. With real-time access to aggregated data, recruiters could respond faster to job seekers and clients, improving service delivery.