Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] The candidate has Python, SQL, and basic cloud knowledge. However, this senior data engineering role at Qualificar TI requires Scala, ETL tools (Talend, Informatica), orchestration tools (Airflow, Luigi), multi-cloud platform depth (AWS, Azure, GCP), and formal data warehousing/data lake expertise. The education requirement specifies 'Engenharia de computação, Ciência da computação, sistema da informação, estatística' — Mechatronics Engineering may not match ATS filters. The role requires certifications or portfolio proof of all skills. **Strengths:** Python experience, SQL knowledge, Data quality experience (ERP data cleansing), Project leadership experience **Missing Required:** Scala, ETL tools (Talend or Informatica), Orchestration tools (Airflow/Luigi), Cloud platforms depth, Degree field (CS/IT/Statistics specified)

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] Same role as Job 8 (SAP Analytics & Data Architect). Minimal match on data architecture concepts and SQL. Missing all SAP-specific platforms, modern data platform expertise, and 10-15+ years data architecture experience. Critical seniority and technology gaps. **Strengths:** Data modeling concepts, SQL, Business-technical translation **Critical Gaps:** No SAP platform experience, No 10-15+ years data architecture/engineering experience, No modern data platform hands-on experience, No professional Data Architect title **Missing Required:** 10-15+ years data architecture/engineering/analytics experience, SAP BDC/Datasphere/SAC/BW/4HANA/HANA Cloud knowledge, Databricks/Snowflake/BigQuery hands-on experience, Customer-facing delivery projects, CS/Engineering degree (has Mechatronics - ATS may not recognize)

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] Candidate has strong systems architecture and automation experience, proficiency in SQL, Python, and data pipeline concepts. However, lacks formal 'Engenheiro de Dados' job title, no experience with Databricks/Azure stack mentioned in legacy systems, and missing formal project management credentials. ATS will penalize the non-traditional job titles heavily despite relevant skills. **Strengths:** SQL and database proficiency, Pipeline automation experience, Python programming, Data governance and quality focus **Critical Gaps:** No 'Software Engineer' or 'Data Engineer' job title ever held, No brand-name tech company experience **Missing Required:** Ensino Superior in Technology/CS (Mechatronics may not be recognized by ATS), Desejável Pós-graduação

[ANALYSIS_REPORT] **MEDIUM** [Opencode: sonnet-4-5] Strong alignment on Python, SQL, PostgreSQL, ETL/ELT pipeline experience, and cloud fundamentals. Candidate has demonstrated NoSQL to SQL transformation experience through market intelligence platform project. RAG and embedding knowledge is explicitly mentioned in resume. However, lacks specific AWS/Azure/GCP production experience depth and formal data engineering title. **Strengths:** Python for data pipelines, PostgreSQL expertise, RAG and vector embeddings knowledge, NoSQL to SQL transformation experience, API integration

[ANALYSIS_REPORT] **MEDIUM** [Opencode: sonnet-4-5] Candidate demonstrates strong data architecture concepts, data lake understanding, Python automation, and LGPD-awareness through governance work at Pronutri. Data quality and governance are core strengths. However, lacks specific cloud platform certifications and formal data engineering title. Position at Brasif (machinery distributor) suggests operational data focus which aligns with candidate's ERP and supply chain background. **Strengths:** Data governance and LGPD compliance mindset, Python automation, Data quality and validation expertise, ERP system architecture understanding

[ANALYSIS_REPORT] **MEDIUM** [Opencode: sonnet-4-5] Stage Consulting is a strategy/implementation consultancy seeking versatile data engineers. Candidate's cross-domain experience (finance, supply chain, e-commerce) and 'builder' mentality align well with consulting model. Strong Python, SQL, and demonstrated ability to navigate multiple contexts. Missing Databricks, Spark, and Azure-specific experience. Consulting values adaptability and rapid learning—candidate's trajectory demonstrates this. **Strengths:** Rapid learning and context-switching ability, Cross-domain business understanding, Python and SQL proficiency, Autonomous problem-solving

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] Senior-level role requiring leadership, advanced Databricks/GCP expertise, and strategic data architecture definition. Candidate has strong architectural thinking and autonomous execution but lacks formal leadership of data teams, deep Databricks/GCP production experience, and senior-level job titles. Skill inference helps (data lakes, ETL concepts understood), but seniority gap is significant. **Strengths:** Data lake architecture understanding, Python/ETL pipeline development, Autonomous and strategic thinking, Scalable system design **Critical Gaps:** No experience leading data engineering teams, Seniority level mismatch (no 'Sênior' title held) **Missing Required:** Experiência robusta com Databricks e GCP, Experiência como líder de equipes

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] Qualificar TI seeks a data engineering specialist (Especialista level) with deep technical expertise. Candidate has strong Python, SQL, conceptual understanding of data warehousing/lakes, and practical pipeline experience. However, lacks formal certifications, experience with specific ETL tools (Talend, Informatica), and orchestration platforms (Airflow). PJ contract and 24-year-old consultancy suggests some flexibility but also structured expectations. **Strengths:** Python proficiency, SQL expertise, Data quality and governance mindset, Cloud fundamentals (AWS mentioned) **Missing Required:** Certificações obrigatórias (though stated as 'Não se aplica'), Domínio avançado de ferramentas ETL comerciais

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] RH Selector posting is vague and generic, focusing heavily on AI/ML algorithms and advanced data science (machine learning, predictive analytics). Candidate has AI integration and prompt engineering skills but not deep ML model development or algorithm creation. Requires fluent English and experience with Spark/Hadoop. The generic nature and recruiter posting suggests high volume, low signal. **Strengths:** Python programming, AI integration via APIs, Data pipeline automation, English fluency (C2) **Critical Gaps:** Lack of formal data science/ML engineering background **Missing Required:** Sólida experiência em machine learning e algoritmos de IA, Fluência em inglês (candidate has C2 English, this is met)

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] Radix seeks a Technical Lead for Data Engineering with strong leadership, mentorship, and strategic influence capabilities. Candidate has demonstrated autonomy and technical direction in solo/small team contexts but lacks formal experience leading data engineering teams, advanced English for conversation, and deep batch/real-time pipeline expertise at scale. Graduate degree preferred (candidate has MicroMasters, not full Master's). **Strengths:** Strong architectural thinking, Autonomous technical decision-making, ETL/pipeline development, English fluency (C2) **Critical Gaps:** No experience leading data engineering teams, Missing Tech Lead title/experience **Missing Required:** Experiência em liderança técnica com mentoria de equipes, Inglês avançado para conversação (candidate has C2, this is actually met)

[ANALYSIS_REPORT] **HIGH** [Opencode: sonnet-4-5] Grupo Permaneo seeks Pleno-level Data Engineer with strong SQL, Python, API integration, and data modeling skills. Candidate's recent market intelligence platform project demonstrates API extraction, data cleaning, pipeline development, and SQL modeling (Star Schema mentioned in resume context). Dataform is a differential (candidate hasn't used it but has similar transformation experience). Good technical match overall. **Strengths:** SQL expertise, Python for data pipelines and APIs, Data modeling (Star Schema, Fato x Dimensão concepts), ETL/ELT pipeline development, Data governance mindset

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] Prezensa seeks Tech Lead for Data Engineering with GCP focus. Candidate has strong systems thinking, architectural mindset, and AI/ML integration knowledge but lacks deep GCP production experience, formal Tech Lead title, and team leadership track record. Fusion of three consultancies suggests evolving culture that may value diverse backgrounds, but Tech Lead requirements are firm. **Strengths:** Data modeling concepts (Star Schema, Data Vault awareness), SQL and optimization, ETL/ELT pipeline understanding, Security and governance mindset, AI/ML knowledge **Critical Gaps:** No Tech Lead or team leadership experience **Missing Required:** Atuação em Engenharia de Dados e experiência como Tech Lead

[ANALYSIS_REPORT] **HIGH** [Opencode: sonnet-4-5] Winover seeks Pleno/Sênior Data Engineer with AWS focus. Candidate has strong Python, ETL/ELT pipeline development, SQL proficiency, and AWS fundamentals. Recent project demonstrates API integration, data modeling, and production pipeline deployment. Missing deep AWS service expertise (Glue, Redshift, Athena) and formal Sênior title, but Pleno level is achievable. Winover emphasizes well-being and growth, suggesting culture fit. **Strengths:** Python proficiency, ETL/ELT pipeline development, PostgreSQL and SQL expertise, API integrations, Data modeling, AWS fundamentals

[ANALYSIS_REPORT] **HIGH** [Opencode: sonnet-4-5] Insider Store seeks Data Engineer for GCP/BigQuery stack with batch/streaming pipelines, dbt, and infrastructure-as-code. Candidate has strong fundamentals (SQL, Python, data modeling, orchestration concepts) and recent hands-on project. Missing specific GCP depth, dbt/Dataform, Terraform, and streaming (Kafka), but 3+ years practical experience equivalent through diverse projects. Startup environment ('sempre subimos a barra') aligns with candidate's builder mentality. **Strengths:** SQL excellence, Python proficiency, ETL/ELT pipeline development, Data modeling (star schema, dimensional), Git and CI/CD concepts, PostgreSQL optimization

[ANALYSIS_REPORT] **HIGH** [Opencode: sonnet-4-5] This role focuses on migrating legacy systems, data saneamiento, and providing clean datasets for credit modeling. Candidate's TOTVS ERP data cleanup project (4,000+ records), validation logic implementation, and track record of turning chaotic data into reliable systems is exceptional alignment. Strong Spark, Airflow, AWS, and Data Lake concepts required—candidate has conceptual understanding and AWS fundamentals but missing production Spark/Airflow depth. **Strengths:** Legacy system migration and data saneamiento expertise (TOTVS project), Data quality and governance, SQL proficiency, Python automation, ETL/ELT concepts, AWS fundamentals

[ANALYSIS_REPORT] **MEDIUM** [Opencode: sonnet-4-5] CI&T seeks Pleno Data Engineer for GCP migration project from Azure/Databricks. Strong SQL, Python, GCP services (BigQuery, Dataflow, Cloud Composer), and understanding of data architecture required. Candidate has solid SQL/Python fundamentals and conceptual understanding but lacks Databricks legacy experience, production GCP depth, and Terraform. However, migration focus means learning curve is expected. CI&T's 30-year history and 8,000+ employees suggests structured processes. **Strengths:** SQL proficiency, Python and ETL concepts, Data architecture understanding (Lakehouse, medallion), Git and CI/CD awareness, AWS fundamentals (transferable to GCP)

[ANALYSIS_REPORT] **LOW** [Opencode: sonnet-4-5] Programmers seeks Principal Data Engineer—a strategic leadership role defining company-wide data strategy, leading multi-disciplinary teams (Data Engineers, Data Scientists, ML Engineers), and serving as executive advisor. Candidate has strong technical foundation and architectural thinking but zero formal team leadership experience, no Principal/Staff title, and missing deep production experience with modern data platforms (Databricks, Snowflake, MLflow). This is a senior executive role, not IC. **Strengths:** Strong architectural and systems thinking, Modern data architecture concepts (Lakehouse, medallion), ML integration knowledge, Autonomous technical direction **Critical Gaps:** No experience leading data engineering teams, No Principal/Staff/Senior leadership titles, Missing strategic data leadership track record **Missing Required:** Experiência liderando times de Engenharia de Dados, Ciência de Dados e Machine Learning, Atuação como referência técnica para stakeholders executivos

[ANALYSIS_REPORT] **MEDIUM** [Opencode: sonnet-4-5] Fullstack Sênior role focused on generative AI, LLM/SLM integration, and Microsoft Copilot ecosystem. Candidate has strong AI integration experience (Claude, Gemini, OpenAI APIs), prompt engineering, and demonstrated capability building production systems. However, lacks Angular/React depth (has Vanilla JS), .NET experience, and Microsoft Copilot Studio/Azure Foundry specific knowledge. Fullstack requirement creates skill gap. **Strengths:** Strong AI/LLM integration (Claude, Gemini, OpenAI APIs), Python for AI/ML, Production AI system architecture, Prompt engineering and model orchestration, API development **Critical Gaps:** Limited frontend framework experience (Vanilla JS, not Angular/React), No .NET experience **Missing Required:** Experiência com Angular/React, Experiência com .NET

[ANALYSIS_REPORT] **HIGH** [Opencode: sonnet-4-5] IPM GovTech seeks AI Developer for NLP and Computer Vision projects. Candidate has strong Python foundation, NLP experience (text processing, embeddings, vector search via market intelligence project), and API integration skills. Missing computer vision depth (OpenCV, CNN architectures) but NLP alignment is excellent. GovTech mission-driven culture and focus on impact aligns with candidate's trajectory. Role emphasizes development skills over academic credentials. **Strengths:** Python proficiency, NLP implementation (text chunking, embeddings, vector similarity), API integration, Production system deployment, Mission-driven mindset

[ANALYSIS_REPORT] **HIGH** [Opencode: sonnet-4-5] Strong match on AI/ML automation, LLM integration, prompt engineering, Python, GitHub, API integration, and backoffice automation mindset. The candidate built production AI scoring pipelines with prompt tuning, integrated Claude/Gemini/OpenAI APIs, and designed intelligent workflows. PostgreSQL, AWS fundamentals, and middleware integration align well. However, missing formal 5+ years 'AI Engineer' title and enterprise system integration (ERP/CRM/ITSM) hands-on experience. **Strengths:** LLM integration and prompt engineering, AI pipeline design and optimization, Python proficiency, PostgreSQL and data architecture, API and middleware integration, GitHub and version control, Backoffice automation thinking, Production AI deployment **Missing Required:** 5+ years AI/ML/automation/software engineering with AI focus, 3+ years AI development and automation, Professional AI Engineer title

[ANALYSIS_REPORT] **TOP** [Opencode: sonnet-4-5] FIT Energia (Santander group) seeks AI Analyst for operational automation using generative AI and multimodal processing. Candidate has exceptional alignment: production LLM integration (Claude, Gemini, OpenAI APIs), workflow orchestration, Python/JavaScript expertise, Docker/Git/cloud services, and proven ability to build production AI systems. Missing formal data science collaboration, but operational AI focus matches perfectly. **Strengths:** Production LLM integration (OpenAI, Anthropic, Google Gemini), Python and JavaScript/TypeScript proficiency, API development and orchestration, Docker and cloud services (AWS), Git and production deployment

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-1] Strong match on AI/LLM experience (Claude API, prompt engineering, RAG concepts demonstrated), full-stack capability proven through job intelligence platform, and fintech domain experience. Missing Kotlin/Java and Spring Webflux are significant gaps, but transferable Go/Python skills and systems architecture experience partially compensate. **Strengths:** AI/LLM integration, Systems architecture, PostgreSQL **Missing Required:** Kotlin, Java, Spring Webflux, TypeScript frameworks

[ANALYSIS_REPORT] **MEDIUM** [Opencode: sonnet-4-5] Good match on Python backend development, API design, AI agent integration (LLM APIs), and platform thinking. The candidate built production APIs, integrated AI workflows, and designed scalable systems. However, missing 6+ years professional backend engineering title, Node.js proficiency, and formal experience with Model Context Protocol (MCP) or agent frameworks. The role requires deep platform product experience and high-visibility architectural decisions. **Strengths:** Python backend development, API design and implementation, LLM integration and AI workflows, PostgreSQL database design, Platform thinking and scalability, CI/CD pipeline design, High-availability systems thinking **Missing Required:** 6+ years professional backend engineering experience (title), Node.js proficiency, MCP or agent framework experience

[ANALYSIS_REPORT] **MEDIUM** [Opencode: sonnet-4-5] Adecco client seeks Full Stack developer with AI/ML integration, Azure DevOps, and ERP experience. Candidate has strong Python, AI integration via APIs, ERP expertise (TOTVS), and automation skills. Missing React/frontend framework depth, Azure-specific services, and formal ML model deployment. However, ERP background and AI integration are differentiators. Global organization requirement is met (English C2, dual citizenship). **Strengths:** Python for automation and AI, ERP systems experience (TOTVS), AI integration via APIs, English fluency (C2), Global work authorization (EU citizen)

[ANALYSIS_REPORT] **HIGH** [Opencode: sonnet-4-5] WEG/Inova Talentos R&D program seeks professional for AI-powered knowledge management system using RAG, LLM, and web crawling. Candidate has excellent alignment: RAG implementation, LLM integration (Claude, Gemini, OpenAI), web scraping (Puppeteer), Python knowledge, and API development. Missing formal CS/Engineering degree completion (Mechatronics may count), but 12+ years experience exceeds 4-year requirement. Government-funded innovation program values applied skills. **Strengths:** RAG and LLM expertise (demonstrated in market intelligence platform), Web crawling/scraping production experience (Puppeteer), Python proficiency, API development, Git and software development practices