
51 - 200 employees
đ€ B2B
đŻ Recruiter
đą Enterprise
B2B âą Recruitment âą Enterprise
AVANTTi is a Brazilian technology services company that helps organizations maximize the value of their technology and innovation projects through its VMO (Value Management Office) methodology. It offers IT staffing and hunting (outsourcing/bodyshop), rapid squad formation, a software factory for technologies like ABAP, Java and . NET, and portfolio/SAFe management to support digital transformation across sectors such as banking, manufacturing, logistics, retail and education. The company operates from Curitiba, SĂŁo Paulo and Rio de Janeiro and focuses on B2B delivery, enterprise IT solutions and talent allocation.
đ„ 0 minutes ago
đŁïžđ§đ·đ”đč Portuguese Required
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51 - 200 employees
đ€ B2B
đŻ Recruiter
đą Enterprise
B2B âą Recruitment âą Enterprise
AVANTTi is a Brazilian technology services company that helps organizations maximize the value of their technology and innovation projects through its VMO (Value Management Office) methodology. It offers IT staffing and hunting (outsourcing/bodyshop), rapid squad formation, a software factory for technologies like ABAP, Java and . NET, and portfolio/SAFe management to support digital transformation across sectors such as banking, manufacturing, logistics, retail and education. The company operates from Curitiba, SĂŁo Paulo and Rio de Janeiro and focuses on B2B delivery, enterprise IT solutions and talent allocation.
âą Design, develop and implement data validation pipelines and model evaluation workflows in an AWS environment. âą Integrate data, metrics and results into automated, auditable and scalable workflows. âą Modularize pipelines with a focus on reuse, maintainability, testing and continuous evolution. âą Collaborate with Data Science, Data Engineering and Product teams. âą Ensure best practices for version control, code quality, logging, monitoring and automated testing. âą Identify opportunities to improve data architecture and validation processes. âą Develop solutions focused on performance, reliability and data governance.
âą Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science or related fields. âą Solid experience in Data Science. âą Experience with data manipulation and statistical modeling. âą Proficiency in Python, SQL and PySpark. âą Experience with Git and version control. âą Excellent analytical skills and the ability to solve complex problems. âą Strong communication skills and experience working in multidisciplinary teams.
âą Collaborative environment âą Focus on cutting-edge technology âą Continuous professional development
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