Senior Data Engineer & Analytics

New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Required Skills
SQLMicrosoft AzureMicrosoft Power BICI/CDData modelingDatabricks

Requirements

  • Proven experience as a Data Engineer, Analytics Engineer, Data Developer, or similar role.
  • Strong expertise in SQL, data modeling, and relational database design.
  • Hands-on experience building and maintaining data pipelines and system integrations.
  • Experience with Microsoft cloud data ecosystem, including Microsoft Azure services.
  • Familiarity with analytical data modeling and building datasets for reporting and BI tools.
  • Experience working with Power BI for analytics and dashboard preparation.
  • Strong analytical thinking, problem-solving skills, and attention to data quality.
  • Excellent communication skills and ability to work with cross-functional teams.
  • Adaptability to fast-paced and evolving environments.
  • Nice to have: experience with Azure Data Factory, Azure Synapse Analytics, Databricks, or Microsoft Fabric.
  • Nice to have: exposure to CI/CD and DataOps practices; English proficiency; and familiarity with Supply Chain projects.

Responsibilities

  • Design, develop, and evolve scalable transactional and analytical data structures supporting business needs.
  • Build and maintain data pipelines, integrations, and transformation processes across multiple systems and sources.
  • Support the migration of legacy SharePoint-based solutions to a modern, scalable data architecture.
  • Develop and optimize SQL queries, stored procedures, and database models for performance and reliability.
  • Prepare analytical data layers for consumption in dashboards and reporting tools such as Power BI.
  • Ensure data quality, integrity, governance, performance, and availability across all data assets.
  • Collaborate with solution architects, analysts, and business stakeholders to deliver aligned data solutions.
  • Promote best practices in version control, automation, CI/CD, and DataOps for data assets.
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