Top Data Engineer Jobs in Brazil

The role involves business analysis and support for JD Edwards ERP, including process evaluation, requirement elicitation, testing, and documentation for software applications.

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

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

Lead data engineering projects, collaborating with stakeholders to design and implement scalable data architecture and pipelines, ensuring data governance and quality.

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 Full-Stack Engineer will lead backend engineering, manage data pipelines, and optimize systems while collaborating with product and operations teams to improve outcomes.

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 Data Platform Engineer will design and implement ETL pipelines, develop APIs for data retrieval, and manage scalable storage, contributing to backend engineering efforts and data product development.

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 Data Analyst will design interactive dashboards, model data, perform ETL processes, and collaborate with teams to enhance data-driven decisions using Power BI.

Lead design and delivery of BI solutions: understand business needs, prepare and cleanse data, build Power BI visualizations and semantic models, ensure data accuracy, optimize performance, enable self-service BI, train stakeholders, and mentor team members.

Lead and mentor a data engineering team to develop scalable automation solutions, manage data migration from Snowflake to Azure, and ensure best practices in data engineering standards and CI/CD workflows.

As a Senior Data Engineer, you will design scalable data pipelines, migrate Azure Synapse to Databricks, develop Data Warehouses, and ensure data quality across platforms.

The role involves building and managing data ingestion pipelines, collaborating with AI scientists, and ensuring efficient data collection for model training at Speechify.

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.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

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

As a Senior Data Engineer, you will develop and maintain data models, design data pipelines, and ensure data quality, while leveraging big data concepts to improve user experience and recommendations.

The Principal Engineer for Data Infrastructure will manage database systems and data warehousing, optimizing performance and integrating new technologies in a fast-paced fintech environment.

As a Software Engineer for Speechify, you will manage data collection and build data ingestion pipelines to support model training operations, collaborating with the AI team to enhance data quality and scale.

The Senior Data Engineer will manage SQL databases, focusing on optimization, performance tuning, and security while ensuring alignment with business objectives and mentoring team members.

The Senior Python Engineer will lead a data infrastructure project, focusing on data aggregation, modelling, processing, and creating reliable data pipelines for a finance platform.

Design and maintain scalable data pipelines for cloud cost management, ensure data integrity, and enable financial decision-making across teams.