Analista de Desenvolvimento de Software Pleno at Experian

Sao Carlos, Southeast, Brazil -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, Spark, AWS Glue, S3, Athena, Git, Agile, Data Pipelines, Distributed Systems, Data Engineering, Software Engineering, Code Reviews, Mentoring, Testing, Performance Optimization, Resiliency

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 As a Data Platform Engineer, you will design, build, and evolve highly scalable and resilient data platform solutions that power Experian Marketing Services’ core products. You will work on large-scale, cloud‑native data pipelines, optimize distributed processing systems, and contribute to the reliability and performance of petabyte‑scale workloads. Operating within agile value stream teams, you will apply strong engineering practices, collaborate across technical and business stakeholders, and ensure high‑quality data solutions that support our strategic objectives. Your Key Responsibilities Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native tools, applying best practices for performance, reliability, and scalability to process massive datasets efficiently. Analyze and solve complex data engineering challenges by designing cohesive technical solutions, optimizing distributed systems, and ensuring data platforms meet performance and resiliency standards. Contribute directly to production-grade data systems, delivering high-quality, tested code and participating in end‑to‑end feature development to support platform stability and business continuity. Ensure software quality through testable, well‑documented code, code reviews, and adherence to engineering standards, strengthening maintainability and operational readiness. Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional partners to plan and deliver technical initiatives aligned with business goals. Provide senior-level technical leadership, contributing to architecture discussions, mentoring peers through code reviews, and promoting engineering best practices to elevate overall team capability. Support release and operational processes, ensuring reliable deployments, monitoring system health, and maintaining compliance with alerting and operational protocols. Qualifications What We Expect From You Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience. Experience in software or data engineering. Advanced knowledge in building and optimizing large-scale data pipelines using Scala and Apache Spark. Strong experience with cloud-native data platforms such as AWS Glue, S3, Athena, and managed orchestration services. Deep understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies. Experience designing and running highly parallelized data workloads. Proficiency with Git-based version control (GitHub, Bitbucket, etc.). Familiarity with agile practices and collaborative development in multi-team environments. Strong communication, code review, and mentorship capabilities. + Advanced English and availability to work hybrid in São Carlos/SP. Nice to Have Experience with DBT or other transformation frameworks. Knowledge of concurrent and parallel programming patterns. Experience with data migration tools such as AWS DMS. Functional programming (Scala) or C programming experience. 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: Hybrid Department: Technology Schedule: Full Time

Responsibilities

The role involves designing, developing, and maintaining large-scale, resilient data platform solutions and cloud-native data pipelines using Scala and Spark to process massive datasets efficiently. Responsibilities also include analyzing complex data engineering challenges, contributing to production-grade systems, and ensuring high software quality through testing and documentation.