
51 - 200 employees
Founded 2016
đŒ Consulting
âïž Legal
âïž SaaS
Consulting âą Legal âą SaaS
ROIT is a Brazilian tax-technology company that provides an integrated ecosystem of SaaS solutions and AI-powered tools to help medium and large companies prepare for and manage the 2026 tax reform. Its offerings include an official tax-reform calculator that reprocesses SPED files and invoices, an Invoice-to-Pay automation suite (with ERP/SAP integrations), Tax Discovery for reclaiming taxes, regulatory consulting and education programs, and ongoing support for compliance and scenario planning.
đ„ 8 minutes ago
đŁïžđ§đ·đ”đč Portuguese Required
Where this job comes from
Posted on ROIT's careers page, not through a job board
First seen by Remote Rocketship 8 minutes ago

51 - 200 employees
Founded 2016
đŒ Consulting
âïž Legal
âïž SaaS
Consulting âą Legal âą SaaS
ROIT is a Brazilian tax-technology company that provides an integrated ecosystem of SaaS solutions and AI-powered tools to help medium and large companies prepare for and manage the 2026 tax reform. Its offerings include an official tax-reform calculator that reprocesses SPED files and invoices, an Invoice-to-Pay automation suite (with ERP/SAP integrations), Tax Discovery for reclaiming taxes, regulatory consulting and education programs, and ongoing support for compliance and scenario planning.
âą Implement monitoring systems and routines for data, applications, queries, and other components âą Enhance data models and architecture, and build data pipelines to meet new engineering and business requirements âą Implement data migration, processing, and storage routines (ETL) âą Develop integrations between different data sources (RDS, external APIs, etc.) to centralize data in a data lake âą Implement and conduct load testing âą Monitor data pipelines in execution
âą Experience with Python âą Experience with GCP âą Experience with continuous integration and cloud deployment âą Experience with data lakes, data warehouses, and data marts âą Knowledge of SQL and NoSQL databases âą Knowledge of cloud platform services and resources âą Knowledge of event-driven architecture âą Experience with streaming projects âą Experience with Airflow âą Distributed data processing experience with Spark or similar technologies
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