Top Data Engineer Jobs in Brazil

The Data Engineer will develop applications for Synchrony’s Enterprise Data Lake, ensuring data quality and compliance throughout the software development lifecycle. Responsibilities include data ingestion and standardization, collaborating with teams, and maintaining data dictionaries.

The Data Engineer will develop enterprise applications, educate clients on Machine Learning life cycle, and ensure data quality throughout development.

The Business Intelligence Data Analyst role involves data modeling, analyzing datasets for actionable recommendations, and driving automation solutions for business processes while ensuring effective governance and tracking KPIs.

As a Data Engineer, you will design and develop data processing pipelines, collaborate with data scientists, and ensure data quality. You'll utilize modern tools and frameworks to manage data applications, focusing on data governance and stakeholder management.

The Data Engineer will build infrastructure software for data pipelines and APIs, enhance system performance, mentor engineers, and ensure secure data access for clients.

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 analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.

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.

The Senior Data Engineer will design and maintain scalable data pipelines, implement ETL processes, ensure data quality, and collaborate with stakeholders.

As a Data Engineer, you will design and implement data pipelines using Python and various tools, ensuring efficient data flow and system performance.

The Data Engineer will design and maintain systems for data collection and analysis, ensuring seamless data flow and quality for business operations.

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 Senior Snowflake Data Engineer, you'll design and optimize data pipelines, support datasets for products, and automate data processes while providing technical expertise.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Data Engineer will develop data-driven solutions, implement and optimize data pipelines, automate workflows, and collaborate with stakeholders and data scientists to ensure data quality and architecture effectiveness.

The Data Engineering Specialist will define, develop, and maintain data pipelines, collaborate with teams for decision intelligence, and implement quality control processes using various data engineering tools.

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

As a Data Engineer, you'll maintain and enhance a data ingestion pipeline, collaborate with data scientists and engineers, and implement features for efficiency and scalability.

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 Senior Data Engineer at phData designs and implements data solutions, ensuring performance and security, while developing end-to-end systems utilizing cloud platforms and programming expertise.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

As a Senior Data Engineer, you will design data solutions, build pipelines, develop APIs, and maintain CI/CD practices within Azure, ensuring high-quality deliverables.