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
Serasa Experian is the first and largest Datatech in Brazil. A leader in intelligence solutions for risk and opportunity analysis, focused on the credit, authentication and fraud prevention journeys.
With cutting-edge technology, innovation and the best talent, we turn the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments thrive.
We have 22,000 people operating in 32 countries and continuously invest in technology, data and innovation to drive the growth of our clients.
Job description
We are looking for a person to take on a strategic position as Fraud Prevention Specialist I, working on the support, evolution and scalability of the Teia de Relacionamento (Relationship Web), one of Serasa Experian's main relationship intelligence initiatives.
The Teia is a platform based on graph technology that connects hundreds of millions of entities and relationships, supporting fraud prevention, compliance, investigation, risk and business intelligence processes. The product already runs 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, able to technically lead the evolution of pipelines, ensure data quality and governance, and support the construction of the next generation of analytical and relational capabilities of the platform.
Main responsibilities
- Serve as the technical data reference for the Teia de Relacionamento platform.
- Lead the evolution of the ingestion and update pipelines for the product's databases.
- Ensure data quality, consistency, traceability and governance.
- Evolve graph-oriented and complex relationship data modeling.
- 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.
- Support performance and cost optimization initiatives in an AWS environment.
- Contribute to new analytical capabilities, APIs and relationship intelligence services.
- Take part in defining the future architecture of the data platform.
- Support strategies for integration with AI models, analytics and intelligent agents.
Mandatory requirements – Experience
- Solid experience in Data Engineering.
- Experience acting as a technical data reference or technical data lead.
- Experience 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 skills.
- Architectural vision.
- Technical autonomy.
- Ability to influence decisions.
- Ease of working in multidisciplinary environments.
- Excellent communication with technical and business teams.
Differentiators – Highly desirable
- Neo4j.
- Amazon Neptune.
- Graph Databases.
- Graph Analytics.
- Relationship Intelligence.
- Entity Resolution.
Desirable
- Fraud Analytics.
- Compliance Analytics.
- PLD/FT (anti-money laundering / counter-terrorist financing).
- 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 data quality of the Teia.
- 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 role distinctive?
You will work in one of the largest relational data ecosystems in the country, handling 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 technologies and graph databases to solve complex market problems.
Qualifications
Qualifications
- Solid experience in Data Engineering
- Advanced experience in Python and SQL
- Experience with data architecture in Cloud (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.
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