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 .

Sr. Data Engineer

Five9 · India, Bengaluru

236281UKI_FIVE9 - UK 2360_International Package

Join us in bringing joy to customer experience.  Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.   

Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. 

 

About the Job

We are building a Customer Data Platform (CDP) designed to unlock the full potential of customer experience (CX) across our products and services. This role offers the opportunity to design and scale a platform that unifies customer data from multiple sources, ensures data quality and governance, and provides a single source of truth for analytics, personalization, and engagement.

As a key member of the data engineering team, you will architect and implement the pipelines, storage layers, and integrations that power our CDP. You’ll work with product, data science, and engineering stakeholders to deliver a robust platform that supports real-time decision-making, personalization at scale, and actionable customer insights.

This is a high-impact, hands-on engineering role where you’ll shape the data foundation that directly influences how we understand and serve our customers.

What You Will Be Doing

  • Design and implement Five9’s Customer Data Platform solutions and enable production use cases for customers

  • Design and develop highly scalable and resilient services for ingesting large-scale datasets

  • Demonstrate strong ownership by ensuring operational excellence with a sharp focus on monitoring, observability, and system reliability

  • Develop and orchestrate ETL/ELT pipelines using Apache Airflow

  • Collaborate with cross-functional partners and lead technical initiatives independently end-to-end

  • Design, build, and optimize distributed query engines such as Apache Spark or Snowflake to support complex data workloads

  • Write, review, or provide feedback on technical design proposals from others

Skills

  • 5–7 years of software/data engineering and data platform experience

  • Extensive experience with data transformation and modeling, including advanced features and best practices

  • Deep knowledge of Snowflake for data warehousing, including optimization, security, and cost management

  • Good understanding of data streaming technologies such as Kafka/Kafka Connect

  • Strong knowledge of highly scalable distributed systems, microservices, REST APIs

  • Strong proficiency in object-oriented and/or functional programming languages such as Java, .NET, Python, and SQL for data processing, transformation, and pipeline development

  • Knowledge of Apache Airflow for workflow orchestration is nice to have

  • Understanding of containerization and Kubernetes concepts

  • Experience with the AWS cloud platform and infrastructure-as-code practices

  • Maintain high standards of code quality with a keen eye for test automation and operational excellence

  • Track record of delivering scalable data engineering solutions that support analytics, machine learning, and operational use cases

  • Excellent written and verbal communication and interpersonal skills

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience

 

 

Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills.  The more inclusive we are, the better we are.  Five9 is an equal opportunity employer. 


View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.  

Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.