Top Data Engineer Jobs in Brazil

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.

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.

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.

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.

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.

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.

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.

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

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

Design and implement a scalable data platform, develop data pipelines, ensure data quality, and enable self-service analytics for stakeholders.

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

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

Design, build, and maintain scalable data models and pipelines to ingest, transform, and ensure quality of multi-format partner data for analytics, recommendations, and product teams.

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

As a Senior Site Reliability Engineer, you'll enhance the reliability and scalability of data infrastructure, manage cloud solutions, automate deployments, and ensure compliance and performance monitoring.

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 Software Engineer II will design, implement, scale, and maintain production systems, focusing on backend development, while collaborating with the Measurement team and mentoring others.