Engenheiro de Dados II
Skills
About the role
Engenheiro de Dados II
Full-time
Employee Status: Regular
Role Type: Hybrid
Department: Product Management
Schedule: Full Time
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
Job description
Responsibilities:
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.
Qualifications
Qualifications
Power BI: strong experience with dimensional modeling, semantic layer design, and performance optimization (e.g., model design, cardinality, relationships, query efficiency).
Experience with Databricks
Experience with data observability and quality frameworks (tests, expectations, alerts, SLAs).
Exposure to advanced analytics (predictive models/ML) and understanding of how reliable, well-modeled data enables these use cases.
Contribute to the evolution of the data platform and analytical ecosystem, including governance, cataloging, observability, and development standards.
Languages: SQL, Python
Additional Information
Experian Careers - Creating a better tomorrow together
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