Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Senior Data Engineer focusing on Microsoft Azure integration in large-scale projects. Contributing to complex data engineering initiatives with hybrid work arrangement in São Paulo.
Responsibilities
- Join our team and contribute directly to large-scale, complex projects with a focus on Microsoft Azure cloud environments.
Requirements
- Solid experience as a Data Engineer on large-scale projects;
- Proven expertise with major cloud platforms (Azure, AWS, or GCP), with a strong preference for Azure;
- Advanced knowledge of data architecture and data engineering best practices;
- Proficiency in SQL, ETL, and data modeling (dimensional and relational);
- Experience with Azure services and tools such as Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric;
- Excellent communication skills to interact with clients and internal teams.
- Azure Data Engineer or similar certifications are a plus;
- Knowledge of other ETL solutions such as SSIS, Alteryx, Pentaho, Talend;
- Experience with Power BI and the Microsoft Power Platform.
Benefits
- Hybrid employment model, with on-site work twice a week (Tuesdays and Thursdays) at Av. Paulista.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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