Engenheiro de Dados II

Role Overview

• Design, develop, and evolve analytical data models (facts, dimensions, aggregations, metrics/KPIs), with a strong focus on Gold and Semantic layers, ensuring consistency, scalability, and reusability.
• Define and enforce data modeling standards (e.g., medallion architecture), ensuring best practices for analytical consumption, including data contracts, grain definition, compliance, and traceability.
• Partner with business and technical stakeholders to translate requirements into well-structured datasets and semantic models (metrics definitions, business rules, hierarchies, and conformed dimensions).
• Ensure high data quality and reliability through testing, validation, monitoring, and cross-layer consistency, reducing rework and increasing trust in data.
• Optimize performance and cost of data models and queries (Databricks SQL/Delta), including physical design, partitioning strategies, and efficient query patterns....