Especialista de Desenvolvimento de Software at Experian

Sao Carlos, Southeast, Brazil -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Spark, Python, AWS, Linux, Data Engineering, Data Quality, Data Governance, Kubernetes, Shell Scripting, CI/CD, Observability, Leadership, Communication, Proactivity, Mentoring

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Sobre a vaga Estamos em busca de um(a) Lead Engineer para atuar no time de Analytics Engineering, com foco em engenharia de dados pós-ingestão. Essa posição será responsável por liderar tecnicamente a construção, manutenção e evolução das pipelines de dados que suportam o time de Data Quality, garantindo escalabilidade, confiabilidade e performance dos processos. Responsabilidades Liderar tecnicamente o desenvolvimento de soluções de engenharia de dados, atuando como referência para o time. Projetar e implementar pipelines de dados robustas e escaláveis em ambientes distribuídos. Garantir boas práticas de arquitetura, segurança, versionamento e monitoramento de dados. Colaborar com times multidisciplinares (Data Quality, Data Governance, Engenharia de Software). Atuar na evolução da plataforma de dados, propondo melhorias contínuas e inovações. Mentorar engenheiros de dados mais juniores e contribuir para o crescimento técnico do time. Requisitos Técnicos (Hard Skills) Experiência avançada com Spark (preferencialmente PySpark) para processamento distribuído. Domínio de AWS, incluindo serviços como S3, Glue, EMR, Lambda, IAM, entre outros. Conhecimento sólido em EKS (Kubernetes na AWS) para orquestração de workloads. Proficiência em Python, com foco em engenharia de dados. Familiaridade com ambientes Linux, shell scripting e automação. Experiência com ferramentas de versionamento (Git), CI/CD e observabilidade (monitoramento/logs). Perfil desejado (Soft Skills) Capacidade de liderança técnica e influência positiva no time. Comunicação clara e eficaz com stakeholders técnicos e não técnicos. Proatividade, senso de dono e foco em entrega de valor. Visão sistêmica e orientação para boas práticas de engenharia. Diferenciais Experiência com ferramentas de Data Quality ou Data Observability. Conhecimento em arquitetura orientada a eventos (Kafka, etc.). Certificações AWS ou Spark. Qualifications Spark Python Linux AWS Leadership Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. 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

Lead the technical development of data engineering solutions and ensure the reliability and performance of data processes. Collaborate with multidisciplinary teams and mentor junior data engineers.