Semantix

• Adequar modelos de inferência existentes à esteira produtiva corporativa • Parametrizar códigos conforme padrões técnicos e arquiteturais da plataforma • Garantir reprodutibilidade e versionamento dos modelos • Integrar modelos aos pipelines de dados produtivos • Validar consistência e performance dos modelos em ambiente operacional • Apoiar deploy e monitoramento de modelos em produção • Documentar fluxos de inferência e parametrizações realizadas • Atuar em conjunto com times de engenharia e arquitetura de dados

• Support navigation and organization of content within Microsoft Fabric Workspaces. • Demonstrate data consumption via OneLake and Lakehouse datasets. • Work hands-on in building dashboards and reports in Power BI. • Provide mentoring and technical support to business users. • Facilitate platform adoption and promote best practices for usage.

• Implementar soluções adequadas em engenharia de dados conforme a necessidade do projeto; • Utilizar programação e manutenção de códigos para preparar dados; • Atuar de forma a definir e construir banco de dados relacionais com arquitetura distribuída para processamento de Big Data; • Extrair, transformar e carregar (ETL) dados de um banco de dados para outro; • Efetuar a análise de requerimentos dos usuários; • Realizar pesquisa, desenho e desenvolvimento de novos programas de software; • Prover dados que geram valor para as áreas de negócio; • Identificar maneiras de melhorar a confiabilidade, a eficiência e a qualidade dos dados; • Disseminar conhecimento analítico entre o time e para a organização.

• Develop and optimize predictive models and artificial intelligence solutions, focusing on personalization, anomaly detection, and pattern recognition. • Conduct statistical tests to ensure robust analyses and reliable support for decision-making. • Perform advanced data analyses (descriptive, diagnostic, predictive, and prescriptive), turning data into actionable insights.

• Engineering of requirements. • Analysis and translation of customer needs. • Development of responsive Canvas Apps. • Creation of components, UDFs, and UDTs. • Concurrent development and ALM with Solutions. • Work with SQL Server (tables, procedures, tuning). • Integration with legacy systems for data display/maintenance. • Technical and functional documentation. • Participation in agile ceremonies. • Consultative client-facing approach.

• Define and evolve data governance policies, standards, and processes aligned with DAMA-DMBOK best practices. • Structure and support metadata management and data cataloging initiatives. • Define and monitor data quality metrics and indicators, considering key dimensions (completeness, consistency, accuracy, etc.). • Perform data modeling at conceptual, logical, and physical levels. • Support Master Data Management (MDM) initiatives and the standardization of corporate data. • Collaborate with engineering, architecture, and analytics teams to ensure alignment between governance and data architecture. • Support the implementation of modern data architectures, such as Data Lake / medallion architecture (Bronze, Silver, and Gold). • Promote best practices in data management, documentation, and knowledge sharing across the organization.

• Conduct exploratory and diagnostic data analysis (EDA) with a focus on dental insurance plans or similar sectors. • Develop predictive models and recommendation algorithms (e.g., next best offer, segmentation, classification). • Translate complex data into clear insights to support strategic decisions for Product and Business teams. • Identify behavioral patterns, segment customers, and recommend data-driven actions to improve customer experience and retention. • Support continuous product improvement initiatives using evidence derived from data. • Serve in a consultative capacity with stakeholders across different areas, proposing high-impact analytical approaches. • Work with large volumes of structured and unstructured data using modern analysis and modeling tools. • Use platforms such as Python, SQL, and visualization tools (e.g., Power BI) to communicate results.

• Projetar, desenvolver e otimizar pipelines de dados escaláveis. • Implementar e manter fluxos de ingestão, transformação e carga de dados (ETL/ELT). • Trabalhar com Azure Data Factory (ADF) na orquestração de pipelines. • Desenvolver soluções utilizando Azure Databricks (Spark). • Implementar boas práticas de versionamento e CI/CD utilizando Azure DevOps. • Atuar na governança e controle de acesso de dados via Unity Catalog. • Estruturar ambientes (Dev, HML, Prod) seguindo boas práticas. • Garantir qualidade, performance e segurança dos dados. • Apoiar decisões arquiteturais e evoluções da plataforma de dados. • Interagir com áreas de negócio e times multidisciplinares.

• Develop and maintain scalable data pipelines for large-scale processing. • Design distributed architectures for data storage, transformation, and consumption. • Ensure proper organization, governance, and structuring of data layers. • Perform data cleansing, transformation, and enrichment. • Build ingestion and processing flows for structured and unstructured data. • Ensure standardization and quality of datasets. • Identify and implement continuous improvements in reliability, performance, and scalability. • Optimize queries and processing of large data volumes. • Monitor and improve pipeline efficiency. • Develop algorithms and frameworks that simplify data consumption by business areas.

• Lead strategic projects using agile methodologies (Scrum and/or Kanban). • Conduct agile ceremonies (sprint planning, review, retrospective, daily stand-up, refinement). • Act as a facilitator between technical teams and business areas. • Work with Azure DevOps Boards to manage backlog, sprints and metrics. • Support prioritization together with Product Owners and global stakeholders. • Monitor performance indicators, risks and dependencies. • Facilitate technical discussions with data teams (engineering, analytics, governance). • Ensure alignment between domain strategy and project execution. • Proactively remove impediments.