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 .

Database Engineer

Bounteous · Montreal, QC

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

This team supports front-office trading, reference data, finance, and risk.
The platform is built on Oracle (ODS and MSWM) with supporting systems including Sybase, DB2, KDB, Greenplum, Hadoop, and MongoDB. The team also supports BI tools such as Business Objects, QlikView, and Tableau.

Key Responsibilities
  • Database engineering and support for global trading applications
  • Database architecture, schema design, SQL development, and performance tuning
  • Capacity planning, maintenance, and ETL pipelines
  • Database release support, deployments, and on-call production support
  • Proof-of-concept evaluations, coding, testing, and continuous improvements
  • Collaboration with global teams and support multiple business lines
Required Technical Skills
  • 5–10 years of experience with relational databases (strong focus on DB2 Linux or Sybase)
  • Strong SQL, stored procedures, and query optimization skills
  • Database performance tuning, indexing, statistics, memory management
  • Scripting experience in Perl / Python / Unix / K-Shell
Good to Have
  • Greenplum exposure
  • Familiarity with Datalakes / Hadoop
  • Experience in finance domain
  • Exposure to CI/CD tools
This team supports front-office trading, reference data, finance, and risk.
The platform is built on Oracle (ODS and MSWM) with supporting systems including Sybase, DB2, KDB, Greenplum, Hadoop, and MongoDB. The team also supports BI tools such as Business Objects, QlikView, and Tableau.

Key Responsibilities
  • Database engineering and support for global trading applications
  • Database architecture, schema design, SQL development, and performance tuning
  • Capacity planning, maintenance, and ETL pipelines
  • Database release support, deployments, and on-call production support
  • Proof-of-concept evaluations, coding, testing, and continuous improvements
  • Collaboration with global teams and support multiple business lines
Required Technical Skills
  • 5–10 years of experience with relational databases (strong focus on DB2 Linux or Sybase)
  • Strong SQL, stored procedures, and query optimization skills
  • Database performance tuning, indexing, statistics, memory management
  • Scripting experience in Perl / Python / Unix / K-Shell
Good to Have
  • Greenplum exposure
  • Familiarity with Datalakes / Hadoop
  • Experience in finance domain
  • Exposure to CI/CD tools
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 

For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates. 

*Must be legally eligible to work in Canada. 

Information Security Responsibilities

  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information