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Experian

Venture capital arm funding data startups

Fraud Prevention Specialist 1

Data EngineeringConfirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listedRemote

About the Job

Requirements

  • Solid experience in data engineering.
  • Experience acting as a technical reference or technical lead in data.
  • Experience in high-volume environments.
  • Experience with cloud data architecture.
  • Advanced Python and SQL skills.
  • Experience with Apache Airflow, Git, and REST APIs.
  • Advanced AWS experience, including S3, IAM, CloudWatch, DynamoDB, and Athena or equivalent analytics services.
  • Experience with ETL and ELT, data quality, data lineage, data governance, data modeling, data observability, and pipeline optimization.
  • Strong analytical capability, architectural vision, technical autonomy, and ability to influence decisions.
  • Ability to work in multidisciplinary environments and communicate with technical and business areas.
  • Knowledge of graph theory.

Responsibilities

  • Serve as the technical data reference for the Teia de Relacionamento platform.
  • Lead the evolution of ingestion pipelines and product database updates.
  • Ensure data quality, consistency, traceability, and governance.
  • Evolve graph-oriented data modeling and complex relationships.
  • Support platform scalability for new business verticals and products.
  • Define and implement data quality, observability, and monitoring standards.
  • Work with Engineering, Product, Architecture, and Security teams.
  • Support performance and cost optimization in AWS environments.
  • 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.
  • Structure data governance and quality for Teia, industrialize database update pipelines, improve platform observability and monitoring, support expansion into new business verticals, reduce operational data risks, and become the product's primary data reference during the first 12 months.

Desired Qualifications

  • Experience with Neo4j, Amazon Neptune, graph databases, graph analytics, relationship intelligence, and entity resolution.
  • Experience with fraud analytics, compliance analytics, anti-money-laundering and counter-terrorism-financing analytics, identity and fraud, CI/CD for data platforms, Databricks, Spark, OpenSearch, knowledge graphs, generative AI applied to data, MCP, and LLM integrations.

About the Company

Experian

Venture capital arm funding data startups

Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian's data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian's platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian's scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian's ecosystem and influence across regions.

Company size
1-10
Company stage
Not listed
Total funding
$82M
Headquarters
Costa Mesa, CA
Founded
1995

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