Qintess
Enterprise • Artificial Intelligence • B2B
Qintess is a global technology and digital transformation company with roots in Brazil, serving clients across multiple countries. It provides enterprise IT services including SAP implementation and enablement, cloud and digital infrastructure, application development and modernization, low-code platforms, data analysis and decision science, AI-powered solutions, and customer-centered UX/UI design. Qintess works primarily with business and institutional clients to accelerate IT modernization, optimize operations, and integrate innovation such as AI platforms and digital twins.
Database Administrator
Job not on LinkedIn
October 10
🗣️🇧🇷🇵🇹 Portuguese Required
Qintess
Enterprise • Artificial Intelligence • B2B
Qintess is a global technology and digital transformation company with roots in Brazil, serving clients across multiple countries. It provides enterprise IT services including SAP implementation and enablement, cloud and digital infrastructure, application development and modernization, low-code platforms, data analysis and decision science, AI-powered solutions, and customer-centered UX/UI design. Qintess works primarily with business and institutional clients to accelerate IT modernization, optimize operations, and integrate innovation such as AI platforms and digital twins.
📋 Description
• We believe innovation is, above all, an attitude. • Decide, surprise, test and deploy new realities and redefine the future. • We are looking for a professional to act as a Database Administrator.
🎯 Requirements
• Education: Bachelor's degree • Experience: Minimum of 6 (six) years ensuring the quality of metadata structures of solutions, aligned with the organization's data architecture standards. • Support in organizing corporate information for applications under development, ensuring integration and application of best practices in enterprise data administration. • Technical knowledge and competencies: Enterprise data administration. • Proficiency with relational and non-relational database technologies, including: Oracle, MS SQL Server, MySQL, PostgreSQL, DynamoDB. • Data modeling and data architecture. • Project management in Traditional and Agile models. • Hands-on experience with agile methods such as SCRUM and SAFe. • Implementation of database projects, including: installation, configuration, maintenance and monitoring. • Tuning and performance optimization. • Migration of databases between different DBMSs. • Proficiency in SQL and PL/SQL.
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