Education: Complete higher education in Systems Analysis and Development, Computer Science, Computer Engineering, or related fields.

Technical knowledge:

• Proficiency in SQL Server (T-SQL) and Oracle;
• Experience with Power BI (DAX, M Queries, publishing to service);
• Programming in Python for data analysis and automation;
• Experience with REST APIs (creation and consumption);
• Experience in Azure and Databricks environments;
• Applied knowledge of data modeling, ETL, and best practices in databases.
• Differential Requirements: Previous projects involving intelligent data automation; Integrations with automotive ERP systems (e.g., Dealernet, NBS).

Responsibilities:

• Develop complex queries and extractions in Microsoft SQL Server and Oracle;
• Create and optimize procedures, T-SQL scripts, and automated data routines;
• Develop and integrate APIs for internal consumption and between systems (custom integrations);
• Create dashboards and reports with Power BI from different data sources;
• Use Python in data routines and automation with a focus on efficiency;
• Apply concepts and tools of artificial intelligence (AI) for data extraction and processing;
• Use Azure and Databricks for data orchestration and modeling in a cloud environment.