Top Data Engineer Jobs in Brazil

The Senior Data Platform Engineer will lead the design and management of enterprise data pipelines primarily using Python and AWS. Responsibilities include building APIs, managing data processing frameworks, and implementing scalable ETL/ELT solutions, while ensuring communication with stakeholders.

The Senior Data Engineer will lead and implement data tracking solutions for digital products, ensuring scalable and reliable data collection, and collaborating with various teams to define tracking standards and data governance practices.

As a Software Engineer on the Data team, you will manage data collection, optimize ingestion pipelines, and collaborate with AI scientists to enhance data processes for model training.

Responsible for data collection and infrastructure support for model training operations. Collaborate with AI scientists and manage data pipelines on GCP.

The Software Engineer will enhance data collection for model training by managing cloud infrastructure, collaborating with the AI team, and integrating new audio data sources.

The Software Engineer will manage data collection for model training, optimize cloud infrastructure, and collaborate with scientists to enhance data quality and scalability.

The Software Engineer will manage data collection for model training, extending the ingestion pipeline on GCP, and collaborate on dataset roadmaps with AI teams.

The role involves sourcing audio data, managing cloud infrastructure, and collaborating on dataset development for AI model training.

As a Senior Backend Software Engineer, you'll design scalable data pipelines and cloud solutions, ensuring data quality and governance while mentoring engineers and collaborating on cross-functional projects.

The role involves designing and implementing scalable applications, building backend services, developing ETL processes, and database management using Python and various technologies.

As a Machine Learning Engineer/Data Scientist, you'll build and deploy ML solutions, collaborate with stakeholders, and analyze data, focusing on achieving measurable business impact.

The Senior Data Engineer will design, build, and optimize scalable data pipelines using PySpark, develop data models, and ensure data quality while collaborating with cross-functional teams.

Lead the development of adtech capabilities on a big data platform, collaborate with stakeholders, and improve internal processes while adhering to coding standards.

Design and build mission-critical, highly scalable data services and pipelines that analyze petabyte-scale blockchain data, architect low-latency data models, and collaborate with data scientists, backend engineers, and product managers to deliver production features.

The Senior Data Engineer designs and maintains data pipelines and systems, collaborates with teams, and optimizes data workflows using cloud technologies.

The Senior Data Engineer will manage end-to-end data processing, develop ETL/ELT pipelines, and collaborate with BI teams to provide insights using complex datasets.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

The Staff Data Platform Engineer will build and optimize data pipelines, manage data processing workflows, and ensure scalability and reliability of backend platforms using Python, Spark, and Databricks.

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 Machine Learning Engineer at AB InBev will design and implement ML systems and pipelines to drive AI's mission for the Growth Group.

The Senior Data Engineer designs, develops, and maintains software solutions, leads projects, mentors juniors, and implements ETL/ELT pipelines using Azure tools.

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.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Senior Data Engineer will modernize the client's data platform, focusing on pipeline migration and implementing a dbt-based transformation framework, while collaborating with engineering teams for knowledge transfer.

The Data Integration Engineer is responsible for designing, maintaining, and optimizing data integration processes across various IT systems, ensuring data quality and alignment with business needs.