Top Data Engineer Jobs in Fortaleza

Design, build, and maintain Azure-native data pipelines and lakehouse layers. Ingest from APIs, IoT, ERP and files; develop Databricks PySpark jobs and Synapse workloads; ensure data quality, security, CI/CD, and governance while collaborating with analytics consumers.

Lead architecture and scaling of the enterprise data platform. Build and modernize serverless, production-grade data pipelines with Airflow, dbt, Python, and AWS. Integrate Fivetran, Redshift, and Sigma, implement observability/testing, define warehouse models, and mentor teams while driving data governance and cross-functional alignment.

Design and build data architectures, optimize data pipelines, and ensure data reliability for analytics and machine learning purposes.

As a Staff Data Engineer, you'll design and implement governance frameworks, optimize data costs, build reusable templates, and ensure data quality and compliance using GCP.

The role involves designing and optimizing distributed data systems, building real-time data pipelines, and mentoring engineers while focusing on scalable data architecture and AI infrastructure.

Design, build, and operate scalable data pipelines and cloud solutions, focusing on monitoring and automation while working with AWS services.

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.

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

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.

The Data Visualization Engineer designs and implements data models and visualizations in Power BI while ensuring data accuracy and quality for clients' decision-making processes.

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

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.