数据工程师负责人（巴西）
Lead Data Engineer (Brazil Based)
#### 公司简介
Experian 是一家全球数据和技术公司，为世界各地的个人和企业创造机会。我们在包括金融服务、医疗保健、汽车、农业、保险等多个市场开展业务。Experian 投资于人才和先进的新技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名员工。
我们的独特之处在于重视你的价值。Experian 以人为本、包容且有明确目标的文化已获得多项奖项——包括 2025 年世界最佳工作场所™（财富全球 25 强）以及在 26 个国家获得的“最佳工作场所™”等。通过社交媒体了解 Experian Life 或浏览我们的职业网站，就能明白其中原因。Experian 还自豪地成为平等就业机会和积极行动的雇主。
#### 职位描述
我们正在寻找一位高级数据/软件工程师，带领一个 PB 级数据平台在 AWS 上的演进。在此职位中，你将设计并构建高度可扩展、高可靠性和高性能的数据流水线和服务，应用先进的软件和数据工程实践。你将与产品、工程和运维团队紧密合作，推动下一代数据驱动的营销解决方案，加速创新，并确保平台的长期可扩展性和可靠性。
**你的主要职责**
- **设计、实现和演进 PB 级 AWS 数据平台**，应用先进的工程、分布式系统原理和云原生实践，确保性能、可靠性和可扩展性。
- **构建和优化高度可扩展的数据流水线**，使用 JVM 语言（Java、Scala、Kotlin 等）、Spark、Python 和云原生服务，确保高效、可靠且适用于生产的数据处理，支持分析和下游产品。
- **担任高级技术领导者**，指导工程师，推动高质量的代码审查，并推广最佳实践，提升整个组织的工程成熟度。
- **参与架构和设计决策**，与架构师、产品负责人和工程领导密切合作，引导平台演进，使其符合业务战略。
- **规划和交付复杂的工程技术项目**，确保高质量成果、可预测的执行和敏捷价值流团队内的有效协作。
- **确保运营可靠性**
查看英文原文
#### Company Description
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees across 32 countries.
Our uniqueness is valuing yours. Experian’s people-centric, inclusive, and purpose-driven culture has been recognized with several awards — including World’s Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity and affirmative action employer.
#### Job Description
We are looking for a Lead (Senior) 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 JVM languages (Java, Scala, Kotlin, etc...), Spark, Python, 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 **Java-based languages such as 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 **Python, 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
At Serasa Experian, we believe that diversity is essential for a healthier and more innovative work environment, where everyone can share experiences and express their ideas. That’s why we promote several initiatives to support inclusive recruitment and the professional development of our people.
We also have our affinity groups, created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).
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