This is a fully remote position, open to applicants in Brazil.

• Design and enhance data pipelines within distributed and real-time frameworks;

• Develop processes for data ingestion, transformation, and loading (ETL);

• Construct solutions for the collection, storage, and processing of large datasets;

• Create aggregation and transformation processes to support analytics and key performance indicators;

• Engage in data modeling and structuring to facilitate BI and Analytics projects;

• Ensure the quality, efficiency, and governance of data in all implemented solutions;

• Utilize Azure services dedicated to data engineering and analytical processing.

• Bachelor’s degree or specialization in Information Technology, Computer Science, Systems Analysis and Development, or related disciplines;

• Experience in BI and Analytics initiatives;

• Strong proficiency in SQL;

• Familiarity with data modeling techniques;

• Proven experience with ETL processes;

• Background in cloud environments, particularly Azure;

• Significant experience with Azure Data Factory and Azure Databricks;

• Understanding of Azure Data Lake Storage and Azure Event Hub;

• Proficiency in Python.

• Competitive salary and performance-based bonuses;

• Opportunities for professional development and training;

• Flexible working hours and remote work options;

• Comprehensive health and wellness benefits;

• Collaborative and inclusive work culture.

Azure Data Engineer, Mid

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