Top Data Engineer Jobs in Sao Paulo

Lead and mentor a team of data engineers, design scalable data pipelines, manage stakeholder relationships, and ensure compliance with data governance policies.

Execute business analytics to uncover trends, support data-driven decisions, and automate D&A platform provisioning using Terraform and GCP resources.

As a Senior Data Engineer, you will develop high-quality production ELT pipelines, ensure data accuracy, and advocate best practices while collaborating with stakeholders.

Develop and maintain data transformation pipelines, build data models, enhance ETL processes, ensure data quality, and collaborate with business teams.

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'll translate business data stories into technical structures, and design, build, test, and implement data products.

The Data Engineer will gather requirements, create data products, develop data pipelines, and enhance data delivery for the insurance sector.

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 Data Engineer will architect and build data infrastructure, design tools for data pipelines, support data quality, and collaborate with teams for data-driven decisions.

The Data Engineer will design and implement ETL/ELT processes, maintain data warehouses, and optimize data pipelines while collaborating with stakeholders.

The role involves data engineering tasks focused on data processing and management in Brazil.

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

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.

Join the Data Fetching Team to build and maintain data ingestion pipelines, ensuring accuracy and compliance while collaborating with cross-functional teams.

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.

Lead the design, implementation, and management of enterprise data solutions using cloud technology, focusing on data engineering and analytics.

Develop and enhance software solutions for data-intensive applications, focusing on large data volumes and event-driven architectures using Go and C++.

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

As a Senior Data Platform Engineer, you will design, develop, and maintain Ebury's data platform, ensuring data quality and driving innovation with emerging technologies.

As a Senior Data Engineer, you will design, develop, and maintain a robust data platform, collaborating with stakeholders to meet data needs and drive innovation in data capabilities.

The role involves developing and managing Kafka-based event solutions, optimizing data pipelines, and enhancing data accessibility for enterprise needs while ensuring high performance and compliance.

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

The People Data Engineer will develop and analyze HR metrics, support advanced analytics initiatives, and optimize data pipelines using workforce data.

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.

The Junior Data Engineer will build and maintain data pipelines, perform data integration, and improve data movement processes using various technologies.