Top Data Engineer Jobs in Brazil

As a Sr. Data Engineer, you'll build and scale high-throughput streaming pipelines, model real estate datasets, and improve data quality using AI-driven tools in a fast-paced environment.

As a Senior Data Engineer, you will create scalable backend services, manage data pipelines, and integrate AI features, ensuring performance and reliability.

Transform data into actionable insights using SQL and Python. Develop models, create dashboards, and present findings to senior leadership.

The Data Engineer will design and implement scalable data solutions, optimize data flow, build data platforms, and work with ETL/ELT processes.

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.

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

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 solutions, optimize data notebooks/pipelines, and implement data quality and compliance checks, while collaborating with cross-functional teams.

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.

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

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.

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

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 designing and optimizing data pipelines, migrating legacy systems to Databricks, and collaborating with clients in a consulting capacity.

The role involves providing technical expertise in database marketing solutions, including creating code, operational support, and participating in design reviews.

This role provides technical expertise for database marketing solutions, focuses on SQL proficiency, and involves creating and modifying database code.

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

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

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.

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 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.