Top Data Engineer Jobs in Brazil

As a Data Engineer - Regulatory at Adyen, you will develop scalable data pipelines, optimize performance, and advocate for data best practices to ensure compliance with regulatory demands.

As a Senior Data Engineer, you'll build and optimize data pipelines for an AI platform, ensuring data integrity and performance while collaborating with various teams.

As a Software Engineer, you will design and build scalable data services to analyze blockchain transactions, collaborating with data scientists and engineers.

The Data Engineer will develop big data applications, integrate data, ensure data quality and participate in agile development processes.

The Advanced Real Time Engineer monitors drilling parameters, operates downhole tools, and collaborates with teams offshore to ensure efficient drilling operations.

As a Business Data Engineer, you will build and maintain scalable data pipelines, ensure data quality and governance, and automate data processes while collaborating with the team.

The Business Intelligence Data Analyst role involves data modeling, analyzing datasets for actionable recommendations, and driving automation solutions for business processes while ensuring effective governance and tracking KPIs.

As a Data Engineer, you will design and develop data processing pipelines, collaborate with data scientists, and ensure data quality. You'll utilize modern tools and frameworks to manage data applications, focusing on data governance and stakeholder management.

The Data Engineer will develop enterprise applications, manage data requirements, communicate project risks, engage in the development lifecycle, and educate clients about machine learning best practices.

The Data Engineer will design, build, and maintain scalable data pipelines using Apache Airflow, ensuring reliable data delivery and optimizing ETL processes.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

The Data Engineer will analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.

The Data Engineer role involves creating and managing data pipelines, optimizing data infrastructure, and automating data processes using tools like Snowflake, dbt, and Terraform.

As a Data Engineer, you will design and implement data pipelines using Python and various tools, ensuring efficient data flow and system performance.

The Data Engineer will design and maintain systems for data collection and analysis, ensuring seamless data flow and quality for business operations.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Senior Data Engineer at Thoughtworks is responsible for developing and operating modern data architecture, building data pipelines, collaborating with data scientists, and ensuring data quality and governance. This role entails using big data tools and implementing data security strategies to meet business objectives.

The Data Engineer will develop data-driven solutions, implement and optimize data pipelines, automate workflows, and collaborate with stakeholders and data scientists to ensure data quality and architecture effectiveness.

Responsible for designing PDM processes, managing ERP master data, supporting supply chain optimization, and leading cross-departmental collaboration.

As a Data Engineer, you'll implement data extraction, build scalable data processing pipelines, manage data infrastructure, and enforce data governance and best practices.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

Lead the entire data ecosystem including data warehousing, pipelines, and BI foundations, while providing technical mentorship and ensuring data quality.

The Software Engineer will develop data platforms, collaborate with teams, implement data pipelines, optimize application performance, and ensure code quality.