This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro de Dados Sênior based in Brazil.
This role is designed for an experienced Data Engineer who is passionate about building scalable, reliable, and high-performing data ecosystems.
You will be responsible for designing and maintaining modern data architectures, ensuring data quality, governance, and operational efficiency.
The position combines cloud technologies, data engineering best practices, and AI-driven solutions to support business transformation.
You will collaborate with multidisciplinary teams, including data scientists, engineers, and business stakeholders, to deliver impactful solutions.
The role provides the opportunity to work with advanced platforms, automation practices, and large-scale data environments.
You will contribute to the evolution of data strategies while helping organizations unlock the full potential of their information assets.
This is an opportunity for a professional who enjoys solving complex challenges and creating innovative data solutions.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro de Dados Sênior based in Brazil.
This role is designed for an experienced Data Engineer who is passionate about building scalable, reliable, and high-performing data ecosystems.
You will be responsible for designing and maintaining modern data architectures, ensuring data quality, governance, and operational efficiency.
The position combines cloud technologies, data engineering best practices, and AI-driven solutions to support business transformation.
You will collaborate with multidisciplinary teams, including data scientists, engineers, and business stakeholders, to deliver impactful solutions.
The role provides the opportunity to work with advanced platforms, automation practices, and large-scale data environments.
You will contribute to the evolution of data strategies while helping organizations unlock the full potential of their information assets.
This is an opportunity for a professional who enjoys solving complex challenges and creating innovative data solutions.
Accountabilities:
- Develop and maintain ETL/ELT data pipelines using Azure environments and Databricks for processing and integration.
- Design, optimize, and maintain data models to ensure scalability, performance, security, and governance.
- Apply CI/CD practices to automate deployments and manage code versioning through GitHub.
- Support cloud migration initiatives by ensuring data integrity, quality, security, and operational efficiency.
- Collaborate with business teams and data science professionals to deploy AI and machine learning models in cloud environments.
- Ensure data quality through profiling, monitoring, validation, and continuous improvement practices.
- Apply a holistic perspective to understand project impacts and ensure solutions align with broader business objectives.
- Document architectures, processes, technical decisions, and engineering best practices.
- Support automation initiatives and improve the efficiency of data workflows.
- Contribute to the evolution of data platforms and governance strategies.
- Solid experience with Azure Data Services and Databricks.
- Hands-on experience with Databricks and PySpark for large-scale data processing.
- Experience with machine learning model deployment and MLOps practices in Databricks environments.
- Strong knowledge of Python and SQL for data manipulation, transformation, and automation.
- Experience implementing CI/CD processes and code versioning using GitHub.
- Experience with conceptual, logical, and physical data modeling.
- Experience supporting cloud migration projects.
- Experience developing ETL/ELT processes and integrating large volumes of data.
- Experience deploying AI models and working with tools such as Azure Machine Learning.
- Experience with AI projects and automation of data pipelines.
- Strong understanding of data governance, architecture principles, and data quality practices.
- Experience defining strategies, standards, and best practices for migrating SAS code to Python/PySpark.
- Experience supporting the migration of analytical processes and solutions from SAS to Databricks.
- Knowledge or previous experience with SAS.
- Experience with Master Data Management (MDM) initiatives.
- Familiarity with Databricks MLflow for model lifecycle management.
- Experience working with Data Lake and Data Warehouse architectures.
- Health and dental insurance.
- Meal and food allowance.
- Childcare assistance.
- Extended parental leave.
- Access to fitness, wellness, and health partnerships through Wellhub and TotalPass.
- Profit-sharing program.
- Life insurance.
- Continuous learning platform with professional development opportunities.
- Discounts platform with partner offers.
- Online platform dedicated to physical health, mental health, and overall well-being.
- Pregnancy and responsible parenting support programs.
- Partnerships with online learning platforms.
- Language learning platform.
- Additional benefits focused on professional growth and employee well-being.
- Opportunities available for professionals across Brazil.
- Hybrid office presence required for professionals located in the Campinas metropolitan region, according to the applicable attendance policy.
The Senior Data Engineer will be responsible for designing, developing, and maintaining data solutions that ensure scalability, reliability, and governance across the organization’s data ecosystem. The role requires strong technical expertise, strategic thinking, and collaboration across multiple teams to enable efficient data-driven decision-making.
Requirements:
The ideal candidate has strong experience in data engineering, cloud platforms, and modern data processing technologies. This professional should be comfortable working with complex data environments, implementing scalable solutions, and collaborating with technical and business teams.
Nice to have:
Benefits:
Work model: