
501 - 1000 employees
Founded 1999
đŒ Consulting
đŠ Logistics
đŻ Recruiter
Consulting âą Logistics âą Recruitment
EVT is a nearshore staff augmentation company that connects global businesses with top-tier IT professionals from Brazil. They specialize in sourcing, vetting, and delivering developers and IT talent aligned to U. S. time zones, offering cost-effective hiring solutions with cultural and language alignment. EVT manages the end-to-end processâcandidate search, technical and cultural validation, contracts, onboarding, and ongoing supportâserving companies seeking scalable, agile access to Brazilian tech talent.
đ„ 9 minutes ago
đŁïžđ§đ·đ”đč Portuguese Required
Where this job comes from
Posted on EVT's careers page, not through a job board
First seen by Remote Rocketship 9 minutes ago

501 - 1000 employees
Founded 1999
đŒ Consulting
đŠ Logistics
đŻ Recruiter
Consulting âą Logistics âą Recruitment
EVT is a nearshore staff augmentation company that connects global businesses with top-tier IT professionals from Brazil. They specialize in sourcing, vetting, and delivering developers and IT talent aligned to U. S. time zones, offering cost-effective hiring solutions with cultural and language alignment. EVT manages the end-to-end processâcandidate search, technical and cultural validation, contracts, onboarding, and ongoing supportâserving companies seeking scalable, agile access to Brazilian tech talent.
âą Develop, integrate, automate, and maintain scalable, secure, and reliable data pipelines and solutions âą Work end to end, from understanding business needs through deployment, monitoring, and continuous improvement âą Process large volumes of data in distributed environments âą Develop architectures, data models, and ETL/ELT pipelines âą Use cloud, Databricks, and orchestration tools âą Apply Git, CI/CD, automated testing, data governance, and data quality practices
âą At least 5 years of experience in Data Engineering, working on complex projects âą Advanced knowledge of SQL, Python, and Spark, including distributed processing of large volumes of data âą Experience with data modeling, architecture, and ETL/ELT pipeline development âą Knowledge of cloud platforms (Azure, AWS, or GCP), Databricks, and orchestration tools âą Knowledge of Git, CI/CD, automated testing, data governance, and data quality âą Collaborative team player âą Strong communication skills and a proactive approach âą Sense of urgency and ability to prioritize
âą Learning incentive programs (Udemy) âą Corporate English classes at affordable rates
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