数据工程专员 I
Data Engineering Specialist I
#### 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。我们在多个市场运营，从金融服务到医疗保健、汽车、农业、保险等。Experian 投资于人才和先进的新技术，以释放数据的潜力。我们拥有来自 32 个国家的 25,200 名优秀团队成员。
#### 职位描述
**职位描述**
Data Engineering Specialist I（图数据工程师 | 关系智能与欺诈分析） 公司简介
Serasa Experian 是巴西首家且最大的 Datatech 公司。我们是风险和机会分析智能解决方案的领导者，专注于信用旅程、身份验证和欺诈预防。
凭借前沿技术、创新和顶尖人才，我们将风险的不确定性转化为最佳决策，帮助人们实现梦想，助力各类企业和行业繁荣发展。
我们有 22,000 名员工在 32 个国家运营，并持续投资于技术、数据和创新，以推动客户增长。
**职位描述**
我们正在寻找一位能够担任战略角色的 **数据工程专家**，负责 **关系网络（Teia de Relacionamento）** 的支持、演进和可扩展性，这是 Serasa Experian 的主要关系智能项目之一。
该平台基于图技术，连接数亿个实体和关系，支持欺诈预防、合规、调查、风险和商业智能等流程。该产品已在生产环境中运行，并处于针对新垂直领域和用例的扩展阶段。
我们寻找一位在数据工程、云架构和复杂数据建模方面有丰富经验的人才，能够技术性地领导管道的演进，确保数据质量和治理，并支持平台下一代分析和关系能力的构建。
**主要职责**
- 成为关系网络平台的技术数据负责人。
- 领导产品数据库的摄入和更新管道的演进。
- 确保数据质量、一致性、可追溯性和治理。
- 演进面向图和复杂关系的数据建模。
- 支持平台在新垂直领域和产品中的可扩展性。
- De
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#### Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
#### Job Description
**Job description**
Data Engineering Specialist I (Graph Data Engineer | Relationship Intelligence and Fraud Analytics) Company Description
Serasa Experian is the first and largest Datatech in Brazil. We are a leader in intelligence solutions for risk and opportunity analysis, focusing on credit journeys, authentication, and fraud prevention.
With cutting-edge technology, innovation, and the best talent, we transform the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments to prosper.
We have 22,000 people operating in 32 countries and we continuously invest in technology, data, and innovation to drive our clients' growth.
**Job description**
We are looking for someone to take on a strategic position as a **Data Engineering Specialist**, working on the support, evolution, and scalability of the **Relationship Web (Teia de Relacionamento)**, one of Serasa Experian's main relationship intelligence initiatives.
The Web is a platform based on graph technology that connects hundreds of millions of entities and relationships, supporting processes for fraud prevention, compliance, investigation, risk, and business intelligence. The product is already operating in a production environment and is in the expansion phase for new verticals and use cases.
We are looking for someone with strong experience in data engineering, cloud architecture, and complex data modeling, capable of technically leading the evolution of pipelines, ensuring data quality and governance, and supporting the construction of the platform's next generation of analytical and relational capabilities.
**Main responsibilities**
- Be the technical data reference for the Relationship Web platform.
- Lead the evolution of ingestion and update pipelines for the product's databases.
- Ensure data quality, consistency, traceability, and governance.
- Evolve data modeling oriented towards graphs and complex relationships.
- Support the scalability of the platform for new verticals and products.
- Define and implement Data Quality, Observability, and Monitoring standards.
- Work together with Engineering, Product, Architecture, and Security teams.
- Support performance and cost optimization initiatives in an AWS environment.
- Contribute to new analytical capabilities, APIs, and relationship intelligence services.
- Participate in defining the future architecture of the data platform.
- Support integration strategies with AI models, analytics, and intelligent agents.
**Mandatory requirements Experience**
- Solid experience in Data Engineering.
- Experience acting as a technical reference or technical data lead.
- Experience working in high-volume environments.
- Experience in cloud data architecture.
**Languages and Tools**
- Advanced Python.
- Advanced SQL.
- Apache Airflow.
- Git.
- REST APIs.
**Cloud**
- Advanced AWS.
- S3.
- IAM.
- CloudWatch.
- DynamoDB.
- Athena or equivalent analytics services.
**Data Engineering**
- ETL and ELT.
- Data Quality.
- Data Lineage.
- Data Governance.
- Data modeling.
- Data observability.
- Pipeline optimization.
**Competencies**
- Strong analytical capacity.
- Architectural vision.
- Technical autonomy.
- Ability to influence decisions.
- Ease of working in multidisciplinary environments.
- Excellent communication with technical and business areas.
**Differentiators Highly desirable**
- Neo4j.
- Amazon Neptune.
- Graph Databases.
- Graph Analytics.
- Relationship Intelligence.
- Entity Resolution.
**Desirable**
- Fraud Analytics.
- Compliance Analytics.
- AML/CFT.
- Identity & Fraud.
- CI/CD for data platforms.
- Databricks.
- Spark.
- OpenSearch.
- Knowledge Graphs.
- GenAI applied to data.
- MCP and integration with LLMs.
**What we expect from this person in the first 12 months**
- Structure the governance and quality of the Web's data.
- Industrialize the database update pipelines.
- Evolve the platform's observability and monitoring.
- Support expansion into new business verticals.
- Reduce operational risks related to data.
- Become the main data reference for the product.
**Why is this position unique?**
You will work in one of the largest relational data ecosystems in the country, dealing with hundreds of millions of entities, billions of potential connections, and real challenges in fraud, digital identity, compliance, and relationship intelligence. The platform already has more than 620 million connections indexed in a graph and uses modern cloud and graph database technologies to solve complex market problems.
#### Qualifications
**Qualifications**
- Solid experience in Data Engineering
- Advanced experience in Python and SQL
- Experience with Cloud data architecture (preferably AWS)
- Experience with data orchestration tools
- Knowledge of data modeling, Data Quality, and Data Governance
- Graph Theory
#### Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. 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](https://www.experian.com/careers/)