Project: PinPoint Application Tracking System Integration

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Project Description

The PinPoint Application Tracking System Integration project aims to integrate the PinPoint recruitment platform with internal systems, specifically by:

  1. Integrating the PinPoint API into the Data Pipeline – enabling automated retrieval of job postings and application tracking data.
  2. Integrating with the Internal Vacancies Board – ensuring job postings from PinPoint appear accurately on the internal vacancies board.

The goal is to streamline recruitment data flow, ensuring that job postings are automatically synchronised, consistently formatted, and securely integrated into internal systems.

Risks & Issues

Key Risks

  1. Data Security & Compliance
    • The API may expose sensitive recruitment data that should not be publicly available.
    • Mitigation: Implement access controls, data masking, and role-based permissions.
  2. API Rate Limits & Performance
    • The PinPoint API may have usage limits, impacting data retrieval.
    • Mitigation: Implement caching, batch requests, and monitor API limits.
  3. System Compatibility & Data Structure Differences
    • Differences between PinPoint’s data model and the internal vacancies board format may lead to data mismatches.
    • Mitigation: Develop a data transformation layer to align field mappings and standardise formats.
  4. Downtime or API Changes
    • If the API structure changes or goes down, data flow may be disrupted.
    • Mitigation: Implement error handling, API version checks, and a fallback mechanism.

Key Issues

  1. Job Posting Content Allows Scripts & Formatting
    • The PinPoint system allows rich text, scripts, and HTML in job postings, which could cause:
      • Security risks (e.g., script injections)
      • Formatting inconsistencies when displaying job descriptions on the internal board.
    • Mitigation: Strip all HTML, scripts, and inline styles from job postings during data acquisition to ensure plain text delivery.

Main Tasks & Deliverables

1. API Integration into the Data Pipeline

  • Retrieve API documentation and understand authentication mechanisms.
  • Develop API connection for automated data extraction.
  • Handle pagination and rate limits for efficient data retrieval.
  • Store retrieved data in a structured format for transformation.

2. Data Transformation & Cleaning

  • Map PinPoint fields to internal vacancies board structure.
  • Strip HTML formatting and scripts from job descriptions.
  • Validate and standardise data before passing it downstream.

3. Internal Vacancies Board Integration

  • Develop an automated process to post clean job data to the vacancies board.
  • Test posting formats to ensure correct display.
  • Ensure periodic sync to keep vacancies up to date.

4. Monitoring & Error Handling

  • Implement logging & alerts for API failures or data inconsistencies.
  • Test different job postings to verify data handling scenarios.
  • Set up monitoring dashboards for integration performance tracking.

Next Steps

  1. Confirm API access and test authentication.
  2. Develop initial API call and store response.
  3. Define data mapping & transformation rules.
  4. Implement HTML/script stripping logic.
  5. Validate with a test vacancy posting.
  6. Deploy to production & set up monitoring.

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