• Design, document, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds. • Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. • Ensure data quality, consistency, and accuracy. • Build scalable data pipelines (SparkSQL, Scala & Python) leveraging Airflow scheduler/executor framework • Collaborate with cross-functional teams, including Data Scientists, Product Managers, Operations, Finance & fellow Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements. • Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity. • Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

• Ensure global materials compliance for electronic products by managing product material data, supplier declarations, analytics, and regulatory submissions; • Drive data quality, automation, and decision-making across engineering, sourcing, and quality. • Manage compliance database - Review, analyse, correct compliance data to maintain the necessary data integrity and validity. • Collect, validate, and maintain material compliance data (IPC-1752A/1754, CMRT/EMRT, declarations/certifications, FMDs) from suppliers. • Develop scripts/ETL to automate data ingestion, deduplication, and validation from PLM/ERP and supplier portals (APIs, CSV/XML). • Own materials compliance data across product BOMs – Perform gap/risk analysis, prioritise supplier outreach and track closure to targets. • Prepare and manage regulatory dossiers and customer responses: EU REACH/SCIP, RoHS, EU Battery Regulation, TSCA, Prop 65, WEEE, Conflict Minerals, and emerging PFAS obligations. • Build and maintain dashboards and reports (e.g., Power BI/Tableau) for coverage, risk, and programme KPIs. • Integrate compliance checks into change control (PCNs/ECOs) and design-for-compliance reviews. • Support internal/external audits and provide training to engineering and sourcing teams. • Partner with vendors/platforms (e.g., Assent, BOM check, Silicon Expert, Source Intelligence) to scale coverage and data quality.

• Design, build, and maintain data pipelines and lakehouse architecture • Develop and maintain SQL-based and PySpark transformations • Own data ingestion across enterprise sources • Partner with analysts and stakeholders to translate requirements • Develop Tableau data sources and enabling self-service analytics • Implement data quality practices and monitor pipelines • Establish standards for data modeling and pipeline architecture • Support AI workflows by providing curated data access • Manage platform configuration, cost, and performance • Troubleshoot data issues and resolve root causes

• Monitorar de forma contínua os pipelines de dados (batch e on-demand) • Atuar em falhas operacionais e incidentes críticos • Realizar análise de logs e troubleshooting em Dataproc, pipelines e DAGs • Acompanhar cargas, reprocessamentos e validações de dados • Manter interface com os times de Engenharia, Arquitetura, Governança e Negócio • Apoiar a estabilização dos ambientes e a melhoria contínua • Documentar incidentes, causas raiz e planos de ação