Engenheiro de Dados Sênior at Experian

Sao Carlos, Southeast, Brazil -

Full Time

Start Date

Immediate

Expiry Date

14 Jul, 26

Salary

0.0

Posted On

15 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, Apache Spark, AWS, Data Engineering, Software Engineering, Distributed Systems, Cloud-native, Data Pipelines, Technical Leadership, Mentorship, Agile, Git, GraphQL, Vector Databases, AI/LLM, Query Optimization

Industry

Information Services

Description

Company Description A Serasa Experian é a primeira e a maior Datatech do Brasil. Líder em soluções de inteligência para análise de riscos e oportunidades, com foco nas jornadas de crédito, autenticação e prevenção à fraude. Com tecnologia de ponta, inovação e os melhores talentos, transforma a incerteza do risco na melhor decisão, ajudando pessoas a realizarem seus sonhos e empresas de todos os portes e segmentos a prosperarem. Temos 22.000 pessoas operando em 32 países e a cada dia estamos investindo em novas tecnologias, profissionais talentosos e inovação para ajudar todos os clientes a maximizarem cada oportunidade. Com sede corporativa em Dublin, Irlanda, a Experian está listada na Bolsa de Valores de Londres (EXPN) e compõe o índice FTSE 100. Job Description We are looking for a Data | Sofware Engineer to lead the evolution of a petabyte-scale data platform on AWS. In this role, you will design and build highly scalable, resilient, and high‑performance data pipelines and services, applying advanced software and data engineering practices. You will collaborate closely with product, engineering, and operations teams to enable next‑generation data‑driven marketing solutions, accelerate innovation, and ensure long‑term platform scalability and reliability. Your key responsibilities Design, implement, and evolve a petabyte‑scale AWS data platform, applying advanced engineering, distributed systems principles, and cloud‑native practices to ensure performance, reliability, and scalability. Build and optimize highly scalable data pipelines using Scala, Spark, and cloud‑native services, ensuring efficient, resilient, and production‑ready data processing that supports analytics and downstream products. Act as a principal‑level technical leader, mentoring engineers, driving high‑quality code reviews, and promoting best practices to elevate engineering maturity across the organization. Contribute to architectural and design decisions, working closely with architects, product owners, and engineering leadership to guide platform evolution aligned with business strategy. Plan and deliver complex technical initiatives, ensuring high‑quality outcomes, predictable execution, and effective collaboration within agile value‑stream teams. Ensure operational readiness by following coding standards, testing practices, monitoring strategies, and release procedures, supporting production deployments to maintain platform stability. Explore and adopt modern technologies, such as GraphQL integrations, vector databases, and AI/LLM‑based techniques, enhancing data access, platform usability, and development efficiency. Qualifications What we expect from you Expert‑level software and data engineering experience in large‑scale data platforms. Deep experience building petabyte‑scale systems using Scala and Apache Spark. Strong expertise across the AWS data ecosystem (Glue, S3, Athena, Managed Airflow, Iceberg). Advanced understanding of distributed systems and highly parallelized workloads. Strong skills in query optimization, data partitioning, and efficient storage patterns. Cloud ecosystem mastery (AWS required; Azure/GCP are pluses). Experience influencing long‑term architecture and platform design. Excellent code review, mentorship, and technical leadership capabilities. Hands‑on experience working in agile environments and collaborating across multiple engineering teams. Strong version control and multi‑repo collaboration skills (Git, GitHub, Bitbucket). Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience. Relevant experience. + Advanced English and availability to travel to São Carlos/SP when need it. Nice to have Experience with DBT or modern transformation frameworks. Knowledge of concurrent and parallel programming. Familiarity with Angular and TypeScript. Experience with vector databases (pgvector, Redis vector fields, etc.). Practical experience applying AI/LLM techniques to data platforms, data access, or software quality. Additional Information Por que esta função é importante Esta função protege a reputação da Experian e garante operações éticas e em conformidade em todo o Brasil. Ao combinar rigor regulatório com soluções pragmáticas e visão comercial, o Head de Compliance possibilita crescimento sustentável e protege os interesses de clientes, colaboradores e stakeholders. A Serasa Experian é muito mais do que você imagina. Com o propósito de criar um futuro melhor, ampliando oportunidades para pessoas e empresas, no Brasil somos mais de 4 mil pessoas que atuam em diversos times e especialidades. Aqui, cada conhecimento e diversidade se complementa e você pode trabalhar no que mais ama, estamos comprometidos a construir uma cultura inclusiva e um ambiente no qual pessoas possam equilibrar a carreira com seus compromissos e interesses pessoais, prezando pelo bem-estar. A gente se dedica muito em ser uma das melhores e mais inovadoras empresas para se trabalhar do país, possibilitando experiências e carreiras incríveis para nossas pessoas. Nossa forte abordagem de pessoas em primeiro lugar é reconhecida externamente por meio de diversas certificações de mercado: fomos premiados pelo Great Place To Work™ em 24 países e pela certificação internacional Top Employers, além de sermos reconhecidos como uma das melhores empresas para jovens profissionais e contarmos com uma avaliação de 4,6 no Glassdoor. Cada reconhecimento nos indica que estamos no caminho certo, proporcionando um ambiente de trabalho cada vez melhor para nossos talentos. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Home Department: Technology Schedule: Full Time

Responsibilities

Design and evolve a petabyte-scale AWS data platform while building highly scalable data pipelines using Scala and Spark. Provide technical leadership through mentorship, code reviews, and architectural guidance to ensure platform reliability and performance.