Hiring Managers in the bank who post job role advertisements externally, receives large number of CVs without much filtering. The filtering of CVs to match the job description is a very time-consuming process. As a result, hiring managers miss their expected timelines to reply to candidates, and end up missing good candidates due to the delay in process.
Create a Python superscript to crunch through 100s of CVs and rank them as per given requirements.
Attached in this repository are an export of CVs received on an actual job advertisement for Web Application Developer in D&A.
CV Filtering solution
Technology stack and tools:
Mandatory Skills:
React, HTML5, CSS, JavaScript, flask, Django with Mongo DB, Oracle, Snowflake databases experience and AWS cloud,
Pivotal Cloud Foundry exposure (Front end Developer) is required
OR
Java, NodeJs, Python, microservice architecture with Mongo DB, Oracle, Snowflake databases experience and AWS cloud,
Pivotal Cloud Foundry exposure (Back-end Developer) is required
Both skill sets available will be a bonus as a full stacker developer.
Bonus skills:
Git, Gitlab, Teamcity, Artefactory, terraform CICD exposure is a plus.
And
Splunk, DXAPM observability suite experience is a plus.
And
ServiceNow, Jira, confluence wiki and service, task management exposure is a plus.
Experience expectation: The team would expect the candidate at the level advertised to have a minimum of 5 years relevant experience in the industry.
The baseline for the challenge will be a 5 CV shortlist arrived at by the Hiring manager panel.