Top Data Engineer Jobs in Sao Paulo

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.

The Senior Data Architect/Analytics Engineer will design data architectures, build self-serve data products, ensure data accuracy, and optimize queries while collaborating with business stakeholders.

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

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.

Lead data engineering projects, collaborating with stakeholders to design and implement scalable data architecture and pipelines, ensuring data governance and quality.

The role involves designing and optimizing data pipelines, migrating legacy systems to Databricks, and collaborating with clients in a consulting capacity.

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.

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.

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

Lead design and delivery of BI solutions: understand business needs, prepare and cleanse data, build Power BI visualizations and semantic models, ensure data accuracy, optimize performance, enable self-service BI, train stakeholders, and mentor team members.

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.

The Staff Data Engineer will design and implement data pipelines for the Data Lake, ensuring data quality and mentoring junior engineers while collaborating with various teams.

The Senior Data Engineer will modernize the client's data platform, focusing on pipeline migration and implementing a dbt-based transformation framework, while collaborating with engineering teams for knowledge transfer.

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

The Data Analytics Engineer will build and maintain ETL data pipelines, collaborate with teams for data modeling and promote best practices for data governance.

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.

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, implement, and maintain scalable data pipelines while collaborating with cross-functional teams to enhance data quality and support decision-making.

As a Senior Backend Software Engineer, you'll design scalable data pipelines and cloud solutions, ensuring data quality and governance while mentoring engineers and collaborating on cross-functional projects.

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

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

Lead and mentor a data engineering team to develop scalable automation solutions, manage data migration from Snowflake to Azure, and ensure best practices in data engineering standards and CI/CD workflows.

The Data Site Reliability Engineer ensures the reliability and performance of the data platform on Databricks and Azure, focusing on automation, incident management, and collaboration with data teams.

The Data Analyst will design interactive dashboards, model data, perform ETL processes, and collaborate with teams to enhance data-driven decisions using Power BI.