Top Data Engineer Jobs in Sao Paulo

As a Data Engineer, you'll implement data extraction, build scalable data processing pipelines, manage data infrastructure, and enforce data governance and best practices.

Lead the entire data ecosystem including data warehousing, pipelines, and BI foundations, while providing technical mentorship and ensuring data quality.

As a Senior Data Engineer, you'll build and optimize data pipelines for an AI platform, ensuring data integrity and performance while collaborating with various teams.

As a Business Data Engineer, you will build and maintain scalable data pipelines, ensure data quality and governance, and automate data processes while collaborating with the team.

Design, develop, and maintain data pipelines using SQL and modern technologies like Azure Databricks and Python to transform and load data into the data warehouse, optimizing performance and ensuring data quality.

As a Software Engineer, you will design and build scalable data services to analyze blockchain transactions, collaborating with data scientists and engineers.

The Data Engineer will develop enterprise applications, manage data requirements, communicate project risks, engage in the development lifecycle, and educate clients about machine learning best practices.

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

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.

Design and evolve the data platform, optimize data services and pipelines, support operations, and collaborate with teams to deliver data products.

Seeking a Senior AWS Developer to manage data integration pipelines in AWS, focusing on custom ETL development mainly using Python. Responsibilities include designing, developing, and maintaining AWS-native data solutions and collaborating on architecture decisions.

The Senior Software Engineer will lead the design and development of scalable data acquisition systems, mentor engineers, and ensure high-quality code practices while integrating various internal and external data sources.

Develop and maintain ETL pipelines and data integrations, optimize data flows, and troubleshoot production issues using AWS, Python, and SQL.

The Senior Data Engineer will develop data-intensive applications, integrate APIs, and support marketing operations through data-driven insights.

The role involves designing and evolving a data platform, optimizing data services, and supporting production operations while collaborating with teams to deliver data products.

As a Senior Data Engineer, you'll build and maintain data pipelines, ensuring efficient data flow and collaborating with teams to deliver reliable solutions for the company.

The Senior Lead Data Engineer will optimize data pipelines, develop applications, and ensure data quality for BI reporting in LatAm and EEMEA regions.

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.

Responsible for designing PDM processes, managing ERP master data, supporting supply chain optimization, and leading cross-departmental collaboration.

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 Software Engineer will develop data platforms, collaborate with teams, implement data pipelines, optimize application performance, and ensure code quality.