Engenheiro de Dados SR

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro de Dados SR based in Brazil.

As a Senior Data Engineer, you will play a key role in maintaining and evolving modern cloud-based data platforms that support business-critical operations. You will be responsible for ensuring the availability, scalability, reliability, and performance of data processing environments while driving continuous improvements across data pipelines and architecture. Working in a collaborative and agile environment, you will partner with architecture, development, and business teams to deliver high-quality data solutions. This is an excellent opportunity for professionals who enjoy solving complex technical challenges, improving data governance, and contributing to innovative, large-scale technology projects.

• Monitor and ensure the availability, stability, and performance of data processing environments.
• Identify, troubleshoot, and resolve production incidents while implementing preventive and corrective actions.
• Design, develop, and optimize scalable data pipelines using Azure Databricks (PySpark and Spark SQL).
• Build and maintain data ingestion and orchestration workflows using Azure Data Factory.
• Develop SQL routines and queries to support data transformation and analytics.
• Validate data quality, integrity, and governance standards across processing pipelines.
• Collaborate with architecture, software engineering, and business teams to implement new data solutions and platform enhancements.
• Document technical solutions, operational procedures, and data workflows while contributing to engineering best practices and platform evolution.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Computer Engineering, or a related field.
• Solid experience working with Microsoft Azure cloud services.
• Hands-on experience with Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), and Azure Synapse Analytics.
• Strong programming skills in Python and experience developing and maintaining enterprise data pipelines.
• Advanced SQL knowledge, including Spark SQL and T-SQL.
• Experience supporting production environments, monitoring workloads, and resolving operational incidents.
• Solid understanding of data quality, governance, and data integrity principles.
• Knowledge of cloud data architecture, Apache Spark, Data Lakes, Data Warehouses, ETL/ELT processes, observability, Git or Azure DevOps, and Agile methodologies is highly desirable.
• Postgraduate studies or certifications in Data Engineering, Cloud Computing, or Microsoft Azure are considered a plus.

Benefits

• CLT employment contract.
• Subsidized health insurance for employees, with the option to add dependents.
• Optional dental insurance.
• Meal or food allowance.
• Optional transportation voucher.
• Employee Assistance Program offering psychological, legal, financial, social, and pet support services.
• Wellhub (Gympass) membership with dependent enrollment options.
• Access to online learning platforms and professional development resources.
• Discounts through education partnerships, language schools, and certification providers.
• Partnerships with major consumer brands and SESC membership.
• Group life insurance.
• Opportunity to work on strategic technology projects in an agile, collaborative, and innovation-driven environment.
• Inclusive workplace with strong commitment to diversity, equal opportunity, and career development.