Top Data Engineer Jobs in Sao Paulo

The Data Engineer will develop data ingestion pipelines and data models on Google Cloud, optimizing SAP systems and ensuring data integrity for the LA Finance team.

The Master Data Engineer will design and maintain data pipelines, ensure data quality, and remediate master data issues in collaboration with various teams.

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

As a Senior Data Engineer, you'll design and maintain data pipelines and ETL processes, optimizing systems for performance and reliability while mentoring junior engineers.

The SQL & Snowflake Engineer will develop SQL queries, analyze data schemas, optimize data retrieval, and participate in Agile processes and technical discussions.

Designs, builds, and maintains scalable batch and streaming data pipelines, APIs and integrations; prepares and cleanses data; creates data models, reporting, dashboards, and access methods; applies NLP and AI/ML techniques; follows data governance; estimates and plans work for agile sprints with limited supervision.

A Data Engineer will build and maintain data infrastructure, focusing on data ingestion, transformation, and modeling to support various teams. Responsibilities include designing data pipelines, ensuring data quality, and collaborating with analytics teams.

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.

The Software Engineer will design and implement search architecture to enhance data discoverability, handle significant feature ownership, perform code reviews, and mentor junior members in a Kubernetes environment.

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.

Lead the design and development of scalable data acquisition systems, architect platform components, and provide technical leadership while ensuring data integrity and high performance.

Design and build data pipelines and analytics infrastructure. Collaborate across teams to ensure data quality and support AI applications while mentoring junior engineers.

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 role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Seeking a skilled Data Engineer with Apache Airflow experience to design, build, and maintain scalable data pipelines, optimize ETL processes, and provide technical leadership while collaborating with cross-functional teams.

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.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

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.

Lead the design and implementation of robust data pipelines and ecosystems. Ensure scalability and reliability while mentoring team members in best practices.

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.

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

Develop AI-powered data mapping recommendation platform, automate data extraction and validation, build scalable data pipelines, and manage data governance.

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.