Remote Data Jobs · Brazil

• Assess existing data architecture and optimize GCP capabilities.
• Map the complete data lifecycle from sources to analytical products.
• Design integrated target-state architecture connecting Salesforce Data Cloud with cloud and Lakehouse environments.

• Pull, clean, structure, and validate operational data from systems like ATS, CRM, and Monday.com to support metrics and decision-making.
• Use AI tools such as Claude to accelerate data analysis, automate repetitive tasks, and improve reporting efficiency.
• Build clear documentation and maintain dashboards to ensure data reliability and process resilience.

• Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
• Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
• Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.

A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.

• Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
• Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
• Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.

• Design and evolve data environments within Microsoft Azure, building scalable pipelines and architectures.
• Translate business needs into practical, data-driven technical solutions across engineering and data science.
• Ensure data is organized, reliable, and accessible to support meaningful business decisions.

Jobgether is a platform that uses AI to match candidates with job opportunities, partnering with companies to streamline hiring. They focus on innovation and efficiency, offering a collaborative environment for professional growth.

• Design and maintain robust ETL/ELT pipelines using Azure and Databricks.
• Collaborate with business and data science teams to operationalize AI/ML models.
• Implement CI/CD practices, data governance, and quality controls.

The hiring company is a technology-driven organization focused on building scalable data ecosystems in a cloud-first environment. It fosters a collaborative culture with emphasis on innovation, continuous learning, and inclusive practices.

• Design and implement a petabyte-scale AWS data platform using advanced engineering and cloud-native practices.
• Build and optimize highly scalable data pipelines using JVM languages, Spark, and Python for production-ready data processing.
• Act as a principal-level technical leader, mentoring engineers and driving architectural decisions to guide platform evolution.

Experian is a global data and technology company that powers opportunities for people and businesses around the world. With 25,200 employees across 32 countries, they have a people-centric, inclusive culture recognized as a World's Best Workplace.

• Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
• Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
• Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.

CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.

• Extract and analyze client datasets to identify patterns and behaviors.
• Communicate findings to business stakeholders and support decision-making.
• Work with cross-functional teams to deliver actionable insights.

This company specializes in technology, data, and digital transformation. It fosters a collaborative culture focused on innovation, learning, quality, and business impact.

• Develop and monitor predictive credit scoring and churn models using transactional data.
• Implement generative AI and advanced algorithms to automate credit analysis and ensure compliance.
• Design real-time dashboards to track key performance indicators like FPD and PDD.

Wellhub is revolutionizing workplace wellness by connecting employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep. Headquartered in NYC with team members across Europe, North America, and South America, we have a collaborative culture that values wellbeing and diversity.