Data Developer (Azure/Databrics) Sênior in Brazil at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Developer (Azure/Databrics) Sênior based in Brazil.

This is a senior Data Engineering opportunity to build and evolve scalable data solutions within a technology-driven environment and a specialized financial services project. You will design, develop, and maintain robust ETL/ELT pipelines using Azure and Databricks, working with large volumes of data and modern cloud architectures. The role combines hands-on engineering with a broader 360-degree perspective, ensuring that technical decisions support the wider project and business objectives. You will contribute to cloud migration initiatives, data modeling, governance, CI/CD automation, and the deployment of AI models into production environments. Working closely with business and data science teams, you will help transform high-quality data into reliable analytical and AI capabilities. This position is ideal for a senior professional who enjoys solving complex data challenges and working with modern cloud, analytics, and AI technologies.

• Develop, maintain, and optimize ETL/ELT data pipelines in Azure, leveraging Databricks and PySpark for large-scale data processing and integration.
• Apply a 360-degree perspective to data engineering initiatives, understanding the broader architecture and anticipating how individual technical decisions may affect the overall project.
• Implement CI/CD practices to automate deployments, improve development workflows, and maintain reliable code versioning through GitHub.
• Design, model, and evolve tables within Unity Catalog, following consistent naming conventions, schema versioning practices, and data governance standards.
• Design and optimize data models and analytical structures to support scalability, performance, reliability, and effective data consumption.
• Support cloud migration initiatives by contributing to secure, high-quality, and reliable data architectures while maintaining data integrity throughout the migration process.
• Collaborate with business stakeholders and data science teams to support the deployment and operationalization of AI models in cloud environments.
• Establish and maintain data quality practices, including data profiling, monitoring, validation, and consistency checks across data pipelines.
• Document data engineering processes, architectures, technical decisions, standards, and best practices to promote maintainability and knowledge sharing.

• Solid professional experience working with Azure Data Services and Databricks in data engineering environments.
• Strong hands-on experience with Databricks and PySpark for distributed data processing and transformation.
• Practical experience with Medallion Architecture and analytical data layers, including ingestion, preparation, and consumption.
• Advanced proficiency in Python and SQL for data manipulation, transformation, integration, and analysis.
• Experience implementing CI/CD processes and source-code versioning using GitHub.
• Strong knowledge of analytical data modeling and experience designing scalable data structures for large-volume environments.
• Previous experience participating in cloud migration projects, preferably involving data platforms and modern cloud architectures.
• Solid experience developing ETL/ELT processes and integrating large volumes of data from multiple sources.
• Experience supporting the deployment of AI or Machine Learning models in cloud environments, including exposure to tools such as Azure Machine Learning.
• Experience with AI-related projects and the automation of data and machine learning pipelines.
• Strong understanding of data-oriented architectures, data governance, and engineering best practices is a plus.
• Experience in financial services or other highly regulated environments is considered an advantage.
• Familiarity with Master Data Management (MDM) initiatives is desirable.
• Experience with Databricks MLflow for model management and lifecycle tracking is a plus.
• Familiarity with Data Lake and Data Warehouse environments is desirable.
• Strong analytical thinking, collaboration skills, ownership, and the ability to understand the broader impact of technical decisions.

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended parental leave.
• Access to fitness, health, and wellness professionals through Wellhub/Gympass and TotalPass partnerships.
• Profit-sharing program (PLR).
• Life insurance.
• Continuous learning opportunities through a dedicated corporate learning platform.
• Access to online health, mental health, and well-being resources.
• Pregnancy and responsible parenthood support programs.
• Partnerships with online learning and professional development platforms.
• Language-learning platform.
• Employee discount programs.
• Inclusive environment with dedicated health and well-being teams, inclusion specialists, and employee affinity groups.
• Additional salary, healthcare, leave, and employee benefits may be provided according to the partner company’s applicable policies.
• For candidates residing in the Campinas Metropolitan Region, regular presence at the local offices is required according to the applicable workplace policy.