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 | Relational Intelligence and Fraud Analytics) Company 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 businesses 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 Data Engineering Specialist role, supporting, evolving and scaling the Teia de Relacionamento (Relationship Web), one of the main relational intelligence initiatives of Serasa Experian.
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 production and is in the expansion phase into 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 the platform's analytical and relational capabilities.
Main responsibilities
- Be 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 data modeling 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.
- Support performance and cost optimization initiatives in an AWS environment.
- Contribute to new analytical capabilities, APIs and relational 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 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 capability.
- Architectural vision.
- Technical autonomy.
- Ability to influence decisions.
- Ability to work 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.
- PLD/FT (anti-money laundering / counter-terrorism financing).
- Identity & Fraud.
- CI/CD for data platforms.
- Databricks.
- Spark.
- OpenSearch.
- Knowledge Graphs.
- GenAI applied to data.
- MCP and LLM integration.
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 different?
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 relational 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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