• Perform data modeling, working with technologies such as Databricks, SAP Datasphere, Azure Data Factory, Azure Data Lake Storage (ADLS), Python, and databases (SQL Server, Oracle); • Work on extracting data from files received monthly, building a data lake and tables; • Structure RAG for the client's debt contracts and other documents related to loan agreements; • Perform ETL from CXL APIs and transform and process them into Databricks databases to feed CXL quotes; • Structure data tables in Databricks for Judicial Deposits, Financial Guarantees and Collateral; • Develop ETL processes for analyzing structured and unstructured data, using the client's chat API to analyze files and validate data; • Build the Position Manager data product and create reports to replace CXL's Crystal Reports;

• Develop, evolve, and optimize large-scale data pipelines; • Design solutions for data ingestion, transformation, and delivery; • Ensure efficiency, performance, and reliability of production pipelines; • Integrate data from multiple sources and systems; • Work on workflow orchestration and pipeline automation; • Support incident resolution and continuous improvements of the data platform; • Collaborate with cross-functional teams (engineering, product, and business); • Contribute to data engineering best practices, architecture, and governance; • Participate in technical definitions and platform evolution.

Role Description O time de Engenharia de Dados da Incognia é responsável por melhorar e manter toda a infraestrutura de dados da empresa, desde clusters, serviços de dados e autenticação, até ETLs, notebooks e outras ferramentas necessárias que permitem que nossos colaboradores possam extrair métricas e inteligência de um vasto volume de dados ingeridos diariamente, de forma fácil, confiável, segura e respeitando a privacidade dos nossos usuários. O trabalho do time é essencial para entregar uma variedade de soluções baseadas em um grande volume de dados coletados, no intuito de proteger usuários de diversos clientes de golpes e fraude. Precisamos de uma pessoa que tenha familiaridade com vários bancos de dados e engines de processamento distribuído, que consiga entender a fundo as ferramentas que usamos e que, em caso necessário, seja capaz de contribuir para os projetos opensource que rodamos em produção ou possa criar nossas próprias soluções para vencermos nossos desafios de dados. Buscamos alguém com aptidão para identificar problemas latentes (técnicos ou organizacionais) e disposto a resolver desafios de dados em larga escala ainda não devidamente solucionados pela indústria. Dia a dia da posição: - Criar, implantar, manter e monitorar soluções de infraestrutura de dados para toda a empresa, incluindo deployments de ferramentas open source e soluções desenvolvidas internamente; - Prover ferramentas como software, guidelines e templates que tornem o uso da infraestrutura de dados fluida e de fácil acesso aos colaboradores; - Criar e manter pipelines de dados recorrentes e/ou em tempo real de alta performance para tratar grandes volumes de dados; - Monitorar constantemente nossos sistemas para garantir alta disponibilidade, performance e redução de custos; - Criar mecanismos que garantam as políticas de acesso aos dados; Qualifications - Graduação em Engenharia de Software ou relacionado; - Experiência em kubernetes e deployment de sistemas em escala; - Experiência com ETLs/Pipelines em larga escala; - Experiência com o ecossistema Spark; - Experiência com Data Warehousing, Data Lake e formatos de tabela open table como Apache Iceberg e Delta; - Experiência com ferramentas de observabilidade; - Familiaridade com diferentes bancos de dados; - Conhecimentos sólidos em sistemas distribuídos, com destaque para engines de consulta distribuídas; - Experiência com trabalho exploratório, demonstrando capacidade de investigar e solucionar problemas open-ended onde o desafio em si muitas vezes ainda não está bem especificado; - Familiaridade com sistemas distribuídos; - Experiência com modelagem, análise e visualização de dados; - Capacidade de entender profundamente as ferramentas que vai utilizar a ponto de criar patches para adequação às nossas necessidades; - Excelente comunicação – habilidade para articular conceitos técnicos claramente, facilitar tomadas de decisão e garantir a disseminação de conhecimento entre os times; - Inglês avançado. Benefits - Confira nossos benefícios em nosso e-book - https://shorturl.at/fgW12 Company Description A Incognia é a empresa inovadora em soluções de identidade de última geração que possibilitam experiências digitais seguras e sem fricção. Com sua solução persistente de identificação de dispositivos, a Incognia combina sinais de reconhecimento de dispositivo de excelência e à prova de adulteração e análise de localização para verificação de usuários e prevenção de fraudes. As avaliações de risco personalizáveis e insights acionáveis da Incognia permitem que empresas de serviços financeiros, plataformas de delivery e da economia compartilhada e marketplaces protejam sua reputação, retenção de clientes e receita. Para mais informações, visite Incognia.com/pt .

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are seeking a seasoned Data Engineer to join our team. You will be responsible for architecting and building robust data frameworks that empower Operational Data Store / Enterprise Data Lake Platforms. This role requires a blend of high-level technical expertise in modern data stacks and the ability to collaborate independently with stakeholders to translate business needs into scalable data solutions. What You’ll Do: - Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring. - Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes. - Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies. - Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub. - Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines. - Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making. What You’ll Need: - 3+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow. - Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key data. - Marketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution models. - Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures to enforce DRY (Don't Repeat Yourself) principles across the enterprise. - Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc. - Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption. You will work with your Data Engineering teammates to review design, code, and test plans to increase knowledge and application of key frameworks and methodologies. - Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs. - Proven experience integrating and managing business data from enterprise applications into Semantic Layers to decouple complex logic from the BI layer to drive analytics and insights. - Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience. Bonus Points: - Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach and CRM systems for data integration and processing. - Understanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store support. #LI-Remote #LI-CS1 Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $85,000 - $120,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:07-28-2026