Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Senior Data Engineer

Equalexperts · India

Description

Equal Experts is an innovative consultancy specialising in the delivery of custom software solutions for
blue-chip enterprise and public sector clients across a range of industry sectors. We work on important
projects for our clients, deliver market-leading propositions across the digital, online and mobile
channels, and are recognised for our leadership in the application of agile and lean delivery methods to
assure delivery. We have offices in Australia, India, South Africa, the UK, the EU and the USA.

We’re looking for Data Engineers with proven senior-level experience to join the Equal Experts
network.

Our Data Engineers are highly skilled in creating data pipelines for ingest, transformation and storage of
data, usually at scale, and are familiar with standing-up analytics clusters.
This role involves using modern agile technical practices - including Continuous Integration and
Deployment, TDD, and XP - to deliver timely and pragmatic solutions, as well as helping others to do
their jobs in a more effective way.

This role involves working in teams that use modern agile technical practices - including continuous
integration and deployment and fast feedback loops - to deliver timely and pragmatic solutions, as well
as helping others to do their jobs in a more effective way.

Responsibilities

● Working with the client and the team to determine data processing and access needs and how
best to deliver them.
● Creation and support of highly available data pipelines and storage solutions (e.g. data
warehouses).
● Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
● Automation of data infrastructure and deployments.
● Advocating agile practices to the client organisation.
● Mentoring client team members.
● Helping improve the team and clients’ data capabilities.

Required Skills

● Significant experience working on data pipelines, platforms and projects.
● Experience in developing solutions in one or more of the main Cloud providers (AWS, GCP,
Azure).
● Strong background in at least one programming language, Python or Scala preferable.
● Working with a variety of databases, data warehouses and distributed file systems in production
environments.
● Strong experience in SQL and data modeling.
● Exposure with data processing at scale.
● Knowledge about GDPR and data security. Working with source control and infrastructure as code (Git/Github, Terraform, ansible etc.) and CI/CD tools.
● Understanding and being able to support data scientists or business intelligence teams - in data
prep, mentoring and support functions.
● Strong collaboration and communication skills, including the ability to communicate effectively
while working remotely with globally distributed teams.