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Data Engineer (Databricks & Azure) | Senior (Remote)

Roles & Responsibilities

  • Experience with Databricks SQL Warehouse
  • Knowledge in Lakehouse architecture
  • Experience with Azure Data Lake Storage (ADLS)
  • Advanced SQL proficiency

Requirements:

  • Structure and support the analytical monitoring and consumption layer of the platform
  • Implement and manage query environments using Databricks SQL Warehouse
  • Ensure separation between processing and analytical consumption layers
  • Provide governed datasets for Power BI and other corporate applications

Job description

JOB DESCRIPTION


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RESPONSIBILITIES AND ASSIGNMENTS


  • Estruturar e sustentar a camada de consumo e monitoramento analítico da plataforma
  • Implementar e administrar ambientes de consulta utilizando Databricks SQL Warehouse
  • Garantir a separação entre camadas de processamento e consumo analítico
  • Disponibilizar datasets governados para Power BI e demais aplicações corporativas
  • Atuar na integração entre Databricks, Power BI e Azure Data Lake Storage (ADLS)
  • Gerenciar armazenamento histórico e persistência utilizando Delta Lake
  • Garantir rastreabilidade, auditoria e capacidade de reprocessamento dos dados
  • Estruturar estratégias de armazenamento RAW, curated e histórico no Lakehouse
  • Implementar práticas de monitoramento, governança e observabilidade de dados
  • Apoiar áreas de negócio e analytics na construção de dashboards executivos e indicadores estratégicos



REQUIREMENTS AND QUALIFICATIONS


  • Experiência com Databricks SQL Warehouse
  • Conhecimento em arquitetura Lakehouse
  • Experiência com Azure Data Lake Storage (ADLS)
  • Conhecimento em Delta Lake e tabelas Delta
  • Experiência com Power BI e modelagem analítica
  • Domínio de SQL avançado
  • Experiência com pipelines ETL/ELT
  • Vivência em governança, qualidade e monitoramento de dados
  • Experiência com ambiente Cloud Azure


Diferenciais

  • Experiência com Unity Catalog (Databricks)
  • Conhecimento em DataOps / MLOps
  • Experiência com ferramentas de orquestração (ex: Azure Data Factory)
  • Noções de segurança e controle de acesso em dados (RBAC/ABAC)



Become a Compasser, be part of AI/R.


Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies.


We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets.

To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies.

We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth.

Join us and be part of the AI-driven revolution.


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