Top Data Engineer Jobs in Sao Paulo

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

As a Data Engineer, you will implement data extraction solutions, build data processing pipelines, and maintain scalable data infrastructure while ensuring data governance and quality.

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 build infrastructure software for data pipelines and APIs, enhance system performance, mentor engineers, and ensure secure data access for clients.

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.

The Senior Data Engineer will design and maintain scalable data pipelines, implement ETL processes, ensure data quality, and collaborate with stakeholders.

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

Develop and maintain data models, monitor data pipelines, improve data accessibility for business intelligence, and collaborate with teams on data integration projects.

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

As a Senior Snowflake Data Engineer, you'll design and optimize data pipelines, support datasets for products, and automate data processes while providing technical expertise.

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.

Lead design and evolution of the data platform, optimize data services and pipelines, manage production operations, and mentor engineering staff.

The Data Engineer will develop enterprise applications, educate clients on Machine Learning life cycle, and ensure data quality throughout development.

The Data Engineer will develop ETL processes, build data pipelines, and optimize data architecture while collaborating with stakeholders and ensuring data integrity.

As a Data Engineer, you'll maintain and enhance a data ingestion pipeline, collaborate with data scientists and engineers, and implement features for efficiency and scalability.

As a Midlevel Data Engineer, you will develop data models, design data pipelines, and ensure data quality, while collaborating with different teams to improve user experiences.

The Staff Systems Engineer will lead the evolution of the SRE team for the Data Platform focusing on automation, reliability, incident management, and performance optimization while mentoring junior engineers.

Develop and maintain data models, monitor data pipelines, collaborate with teams to enhance data accessibility, and ensure data quality in a cloud environment.

Provide technical solutions and consulting for Apache Spark/Machine Learning issues, assisting customers in utilizing Databricks for analytics and AI tasks while performing troubleshooting and performance tuning.

The Senior Data Platform Engineer will enhance metadata management using OpenMetadata, optimize ingestion pipelines, and improve system reliability through backend development and integration.

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

Data Engineers design and maintain data architecture, create data processing pipelines, collaborate with data scientists, and ensure data quality and governance.