Top Data Engineer Jobs in Sao Paulo

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.

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

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.

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.

The Data Engineer will design, optimize, and maintain data infrastructures, implement data pipelines, and ensure data governance while collaborating with various teams to support analytics and product development.

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.

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

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.

The Data Engineer will design, build, and maintain scalable data pipelines using Apache Airflow, optimizing ETL processes and collaborating with teams to ensure reliable data delivery.

The role involves developing high-performance data storage modules using HDF5, optimizing I/O operations for HPC, and ensuring data integrity. Responsibilities include module design, performance evaluation, and technical documentation.

Design and maintain ETL/ELT data pipelines, manage Snowflake deployments, and optimize data processes for performance. Collaborate with stakeholders to support BI initiatives.

The Staff Software Engineer will design, implement, and maintain backend software systems, ensuring scalability and innovation across teams while mentoring others.

The Principal Software Engineer will lead software development for data solutions, ensuring high-quality delivery, mentoring engineers, and driving innovation in a rapidly growing team.

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 Senior Lead Data Engineer will optimize data pipelines, develop applications, and ensure data quality for BI reporting in LatAm and EEMEA regions.

Design, develop, and maintain data pipelines and ETL processes; ensure data quality and optimize performance; collaborate with cross-functional teams and mentor others.

The Senior Software Engineer will lead the design and development of scalable data acquisition systems, mentor engineers, and ensure high-quality code practices while integrating various internal and external data sources.

Develop demo platforms for Salesforce, support technical requests, build user-friendly demo experiences, and integrate with various Salesforce products.

Build and optimize data pipelines and models, maintain cloud data warehouse, set engineering standards, and collaborate with teams.

Develop and maintain ETL pipelines, work with AWS services, design data flows, troubleshoot data issues, and assist in performance improvements.

As a Senior Data Engineer at Zencore, you will leverage Google Cloud to assist clients in data transformation and application modernization, covering ETL/ELT, data warehousing, and streaming data systems.