Data Engineer - Financial Risk

MercadoLibre
São Paulo
Workplace: HybridFull timeFunction: Legal, Risk & ComplianceSkills: []

Design and scale secure systems for financial risk processes by building and optimizing data ETL pipelines with strong quality, consistency, performance, and traceability. Develop data products and models, integrate and standardize data across multiple sources and interfaces, and work with large datasets in BigQuery using modeling, partitioning, and optimization best practices. Reconcile inconsistencies, implement quality controls and observability, and participate end-to-end from discovery through deployment and monitoring.

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FursaFursa
MercadoLibre
MercadoLibre
1 day ago

Data Engineer - Financial Risk

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design and scale secure systems for financial risk processes by building and optimizing data ETL pipelines with strong quality, consistency, performance, and traceability. Develop data products and models, integrate and standardize data across multiple sources and interfaces, and work with large datasets in BigQuery using modeling, partitioning, and optimization best practices. Reconcile inconsistencies, implement quality controls and observability, and participate end-to-end from discovery through deployment and monitoring.
Location: São Paulo
Workplace: Hybrid
Employment Type: Full time
Job Function: Legal, Risk & Compliance

Key Responsibilities

  • •Design, develop, and optimize ETL pipelines while ensuring data quality, consistency, performance, and traceability.
  • •Build and evolve data products and data models for financial risk processes.
  • •Integrate and standardize data from multiple sources, systems, countries, and application interfaces.
  • •Work with large-scale datasets in BigQuery using modeling, partitioning, and optimization best practices.
  • •Investigate data inconsistencies, perform data reconciliations, and implement quality controls and observability; support the full solution lifecycle from design through deployment and monitoring.

Key Requirements

  • •Experience in data engineering and building information processing pipelines.
  • •Solid experience with Python and writing SQL queries for data analysis and manipulation.
  • •Experience with data repositories in BigQuery, data lake structures, and modeling large volumes of information.
  • •Knowledge of integrating application programming interfaces, version control with Git, and software development best practices.
  • •Use AI tools/assistants regularly in daily engineering workflow to accelerate development, testing, and automation.
Experience:Data engineeringE-commerceFinancial services
Tech Stack:PythonSQLBigQueryData LakeGit

Company Brief

MercadoLibre
Operates Latin America's leading e‑commerce marketplace and fintech ecosystem, offering online buying and selling, classifieds, payment processing, credit, and logistics services across multiple countries in the region.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Buenos Aires, Argentina
Founded: 1999
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn