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 .

Data Engineer

Rapp · Mauritius - RAPP

RAPP Mauritius is looking for Data Engineer to join our award-winning team.

WHO WE ARE:

We think too much marketing isn’t us. It’s mass markets, not audiences of one. Homogenous groups to be targeted, not individuals to be inspired. Segments to reach, not people with their own ideas and ambitions. It’s one size fits all, and it’s dull.

When it comes to individuals, we’re fierce. We stand up for individuality. We speak up against bland, broad-brush generalizations. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors and aspirations. And we commit to doing this in every aspect of our work for clients and their consumers.

We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly, we value every individual’s wellbeing.

We are Fiercely Individual.

HOW WE DO IT:

At RAPP, we are fiercely focused on the individual and how we can create value from every individual’s experience with a brand. We do this across three capability areas: customer-centric consulting, creativity that inspires action and customer experience management.

Our data analysts know who that person is. Our strategists understand what they want. And our award-winning technologists and creatives know how to get it to them.

RAPP is an integral part of Omnicom’s Precision Marketing Group, comprising 4,000 creatives, technologists, strategists, and data and marketing scientists across 40 global markets.

YOUR ROLE:

  • Evaluate business needs, objectives and build algorithms and prototypes
  • Responsible for designing, building, and supporting the components of data warehouse, such as ETL processes, databases, reports and reporting environments
  • Conduct complex data analysis and report on results, analyze and organize raw data
  • Identify opportunities for data acquisition by developing analytical tools and programs
  • Collaborate with data scientists and architects on several projects
  • Consolidate and optimize available data warehouse infrastructure
  • Responsible for designing, building, and supporting the components of data warehouse, such as ETL processes, databases, reports and reporting environments
  • Assembles performance statistics, analyzes them, and makes recommendations for improvements
  • Establishes system documentation and ensures it is continually sustained
  • Conceive analytics and business intelligence platform architecture for clients, including internal and third-party clients
  • Collaborate with business and technology stakeholders in ensuring data warehouse architecture development and utilization
  • Carry out monitoring, tuning, and database performance analysis
  • Design, automate, build, and launch scalable, efficient and reliable data pipelines into production
  • Perform root cause analysis and resolve production and data issues

YOUR RESPONSIBILITIES:

  • Experience and expertise with data models, data mining, and segmentation techniques
  • Experience with SQL database design
  • SQL Server Integration Service (SSIS)
  • Experience with programming languages (e.g. Java and Python)
  • Experience in combining raw data from different sources and conducting complex data analysis
  • Experience in building algorithms and prototypes and perform complex data analysis
  • Experience in design and implement ETL procedures for intake of data from both internal and external sources, as well as ensure data is verified and quality is checked
  • Experience in design and implement ETL processes and data architecture to ensure proper functioning of analytics, as well as client’s or third-party’s reporting environments and dashboard
  • Carry out monitoring, tuning, and database performance analysis
  • Minimum 4 years experience performing data warehouse architecture development and management
  • Minimum 4 years experience with technologies such as SQL Server, SQL Server Integration Service (SSIS), and stored procedures
  • Minimum 4 years experience developing code, testing for quality assurance, administering RDBMS, and monitoring databases
  • High proficiency in dimensional modeling techniques and their applications
  • Minimum 3 years experience in custom ETL design, implementation and maintenance
  • Advanced SQL skills is a must

REQUIRED SKILLS:

  • Bachelor or master's degree in Computer Science or related technical field
  • Data engineering certification (preferable)
  • Ideally Intermediate English Proficiency (B2 reading, writing, and conversation).

 

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

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