Job detail for Data Engineering Specialist I

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 **

• 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 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.

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