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Recruitment Software
Post jobs, import profiles, add screening questions, and manage hiring all in one place with personalized questions and control the entire recruitment process.
Recruitment Service
Let our expert team handle the key stages of tech recruitment for you with our specialized team acting in the main stages of recruitment.
Talent Pool
Top-tier Brazilian tech professionals, pre-vetted and ready for action, all pre-selected and ready for new opportunities.
Our Plans
Discover the perfect plan for your needs.
Use Cases
Build my own team
Define the profile, validate with our experts, and assemble your tech team with full control over every step.
Autopilot
Put tech recruitment on autopilot and receive pre-vetted candidates matched to your needs without lifting a finger.
Complete Solution
From sourcing to hiring — an end-to-end tech recruitment experience powered by AI, specialists, and a curated talent pool.
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HR Blog
Contents about people management, organizational culture and trends in human resources.
Glossary
A comprehensive guide to the key terms and concepts in tech recruitment and software development.
Frequently Asked Questions
Clear answers to the most common questions about using the platform and recruitment processes.
EN
Hybrid
São Paulo, SP, Brazil
Salary Range
Not informed
Experience Level
Mid level
Requirements
Desired Skills
Tasks and Responsibilities
Show originalEducation: 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.
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