• Write, review, optimize, and troubleshoot complex SQL queries that support business reporting, analytics, and data transformation • Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations • Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns • Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions

• Liderar tecnicamente o desenvolvimento e a evolução de pipelines Bronze, Silver e Gold em Databricks. • Definir padrões de Analytics Engineering, modelagem de dados, documentação e qualidade para o time. • Projetar pipelines escaláveis, reutilizáveis e de alta performance para múltiplos domínios de negócio. • Atuar como referência técnica em arquitetura de dados, apoiando decisões e revisões de código. • Evoluir estratégias de Data Quality, testes automatizados e governança de dados. • Construir e definir padrões para modelos semânticos corporativos e ativos analíticos em Power BI. • Mentorar Analytics Engineers, compartilhando conhecimento e impulsionando a evolução técnica da equipe. • Trabalhar em parceria com Arquitetura, Platform Engineering e stakeholders de negócio na evolução da estratégia de dados.

• Supports design and development of analytical data products and services • Coordinates with internal and external clients • Develops analytical models and products • Analyzes and organizes raw data for modeling

• Identify and incorporate data sources to enhance cyber analytics tools • Integrate and automate services and operational tasks by consuming and building APIs, tools, and frameworks • Work with security telemetry tools, SIEM solutions, and other data metric reporting products • Synthesize disparate data points to create comprehensive security insights • Establish predictive narratives to preemptively identify potential attacks • Enhance decision-making processes through clear and actionable information • Progress maturity of security analytics capabilities • Provide metrics and reporting capabilities for quantitative security dashboards • Ensure Global Security Strategy meets security and privacy needs • Develop Security Orchestration and Automation Response (SOAR) capabilities • Facilitate the information security risk assessment process