Top Data Engineer Jobs in Brazil

The Data Engineer will develop and maintain ETL processes, design data warehousing solutions, optimize data notebooks/pipelines, and implement data quality and compliance checks, while collaborating with cross-functional teams.

Develop and maintain ETL processes using Python in Azure, design data storage structures, manage data integration, and ensure data quality and performance optimizations.

Develop and maintain ETL processes using Python and Azure Synapse Analytics, design data storage structures, perform data extraction and transformation, ensure data quality, and collaborate with teams on data-related initiatives.

The Data Engineer will develop ETL processes using Python and Azure Synapse Analytics, manage data warehousing, and ensure data quality and security.

The Data Engineer role involves developing ETL processes, data warehousing, and using Azure Synapse Analytics to manage data. Responsibilities include data extraction, quality checks, performance tuning, and collaboration with teams for data-related initiatives.

As a Data Engineer, you'll develop ETL processes using Python in Azure Synapse, design data warehouses, implement data quality checks, and collaborate on data-related projects.

As a Data Engineer, you will develop and maintain ETL processes using Python on Azure Synapse, design data warehouses, and ensure data quality and compliance through collaboration with cross-functional teams.

Develop and maintain ETL processes using Python and Azure Synapse for efficient data management, ensure data quality, and collaborate with teams on data-related initiatives.

Develop and maintain ETL processes in Azure Synapse Analytics, ensuring data accuracy and performance. Collaborate with teams to optimize data workflows and implement data quality checks.

The Data Engineer will develop and maintain ETL processes, design data warehousing structures, and collaborate across teams to ensure efficient data management and quality.

The role involves ETL data engineering using Python in Azure Synapse, data warehousing design, performance tuning, and collaboration with teams on data management.

The Data Engineer will implement ETL/ELT solutions, design data pipelines, ensure data security, and optimize data processing systems. Responsibilities include data transformation and compliance collaboration.

Join the Data Foundry team as a Data Engineer, building pipelines and infrastructure for AI workflows, ensuring data quality and governance while maintaining and optimizing ETL processes.

The Azure Data Engineer will develop and maintain ETL processes, optimize data pipelines, and ensure data quality while collaborating with teams to meet data integration needs.

The Azure Data Engineer will develop and maintain ETL processes, design data storage structures, collaborate on data models, ensure data quality, and optimize performance using Azure tools.

The Azure Data Engineer will develop ETL processes using Python within Azure Synapse, manage data quality, and collaborate on data modeling.

As an Azure Data Engineer, you will develop ETL processes using Python in Azure Synapse, manage data warehousing, and ensure data quality and security while collaborating with teams.

Develop and maintain ETL processes, manage data warehousing, optimize Azure Synapse Analytics, and ensure data quality and compliance.

The Azure Data Engineer will develop and maintain ETL processes using Python, work with Azure Synapse Analytics, and ensure data quality and performance tuning.

The Azure Data Engineer will develop ETL processes, design data storage structures, optimize data pipelines, and collaborate with teams to ensure data accuracy and compliance in a remote role.

Develop and maintain ETL processes, design data warehousing solutions, ensure data quality, and collaborate with teams to meet data requirements.

The Azure Data Engineer will develop ETL processes, manage data warehousing, optimize performance, and ensure data quality within Azure Synapse Analytics, collaborating with cross-functional teams.

The Azure Data Engineer will design and implement ETL processes, optimize data storage, ensure data quality, write SQL queries, and collaborate with teams to meet data requirements.

The Azure Data Engineer will develop ETL processes, design data models and warehousing solutions, ensure data quality and manage Azure Synapse Analytics for effective data handling.

The Data Engineer will develop data analytics platforms, establish best practices in data ingestion and storage, manage data quality, design scalable software architectures, and mentor team members.