Top Data Engineer Jobs in Sao Paulo

The Data Engineer will design and operationalize enterprise data solutions on cloud platforms, integrate various data technologies, build and maintain data pipelines, collaborate with teams to generate insights, and create data visualizations to support analytics. The role requires a focus on data architecture, integration, and operational efficiency while ensuring data integrity and security.

The Data Engineer will design and operationalize data solutions on cloud platforms, integrating Azure services and Snowflake technology. Key responsibilities include building data pipelines, collaborating with cross-functional teams, and creating data visualizations. The role requires strong problem-solving skills and a deep understanding of data architecture and engineering workflows.

As a Data Engineer, you'll design and manage data pipelines, engage with product teams to gather requirements, and participate in the complete development cycle including testing and technical discussions with stakeholders.

As a Senior Software Engineer, you'll develop and enhance software solutions for managing large data volumes, focusing on event-driven architectures. You'll design, build, and maintain high-performance applications, implement queue mechanisms, collaborate across teams, and resolve performance bottlenecks.

Develop and enhance software solutions for managing large data volumes in an event-driven architecture. Responsibilities include designing, building, optimizing applications, and collaborating with teams to integrate these systems effectively.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines for data integration, ensuring data quality with collaboration from various teams. You'll mentor junior engineers and enhance internal processes while researching new technologies.

The Senior Data Engineer will develop and maintain ETL pipelines, analyze requirements, conduct code reviews, and collaborate with other engineers to deliver high-quality data solutions on AWS for media clients. Responsibilities also include mentoring Junior colleagues and improving data collection and analysis strategies.

As a Senior Data Engineer, you will design and develop data science applications, supporting clinical trials and improving risk management. You'll collaborate with teams to build solutions, mentor engineers, and enforce coding standards. Responsibilities include leading engineering efforts, driving innovation, and managing ELT processes with a strong focus on data governance and architecture.

The Data Engineer Associate at Clara will build and maintain data pipelines, ensure data quality, and collaborate with data teams. Responsibilities include learning data lake architectures and documenting work for team references, while staying updated on the latest technologies.

The Sr Data Engineer will develop scalable data pipelines and enhance existing platforms within the Analytics team. Responsibilities include deploying Apache Spark on AWS, automating data pipelines, improving data processing efficiency, and collaborating with cross-functional teams to create an optimal Data Platform.

The Data Engineer is responsible for collaborating with stakeholders to understand and communicate data platform requirements, architecture design, and governance. They will handle tasks involving data lakes, warehouses, ETL frameworks, and data manipulation using various tools and languages, while ensuring data security and governance.

As a Data Engineer, you will design and migrate data pipelines, engage with product teams for solutions, and participate in the full development cycle. Your role includes optimizing data workflows and collaborating with technical stakeholders to enhance data infrastructure and performance.

The Senior Data Engineer will build and maintain high-performance data systems and machine learning models. Responsibilities include designing data pipelines, optimizing data processing with Scala, and integrating advanced solutions to enhance performance, particularly in AdTech.

The Senior DevOps Engineer will design and implement scalable data pipelines, automate tasks, manage disaster recovery plans, and continuously improve the reliability of data pipelines. They will troubleshoot production issues, participate in incident response, and maintain documentation for data systems.

As a Senior Data Scientist / Machine Learning Engineer, you will design and deliver ML solutions, analyze complex datasets, establish automated modeling processes, and collaborate with peers on data acquisition and exploration. A strong sense of ownership and problem-solving abilities is essential.

The Software Engineer II will contribute to the Data team by designing, developing, and maintaining data products and systems. Responsibilities include collaborating with stakeholders, automating CI/CD pipelines, implementing Infrastructure as Code, and supporting data products to ensure quality and performance. The role also involves mentoring peers and fostering a learning environment.

Join our Data Lake engineering team to contribute to the Data Lakehouse product. Responsibilities include collaborating with stakeholders, designing and maintaining Data Lakehouse on AWS/Azure, implementing CI/CD pipelines, and monitoring system performance. This role focuses on AI and ML initiatives, utilizing technologies like Docker and Kubernetes.