Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Databricks) | SR based in Brazil.
This senior-level role sits at the core of modern data-driven architecture, supporting the design, development, and evolution of scalable data platforms in a cloud environment. You will work with large-scale data pipelines and distributed processing systems, ensuring that data is reliable, accessible, and ready for advanced analytics and business decision-making. The position involves hands-on work with Azure, Databricks, PySpark, and SQL, as well as close collaboration with engineering teams to translate business needs into robust technical solutions. You will also play a key role in maintaining performance, stability, and security across data ecosystems. Beyond development, the role emphasizes operational excellence, including monitoring, automation, and continuous improvement of data workflows. This is a highly technical environment where data quality, resilience, and scalability are central to everything delivered.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Databricks) | SR based in Brazil.
This senior-level role sits at the core of modern data-driven architecture, supporting the design, development, and evolution of scalable data platforms in a cloud environment. You will work with large-scale data pipelines and distributed processing systems, ensuring that data is reliable, accessible, and ready for advanced analytics and business decision-making. The position involves hands-on work with Azure, Databricks, PySpark, and SQL, as well as close collaboration with engineering teams to translate business needs into robust technical solutions. You will also play a key role in maintaining performance, stability, and security across data ecosystems. Beyond development, the role emphasizes operational excellence, including monitoring, automation, and continuous improvement of data workflows. This is a highly technical environment where data quality, resilience, and scalability are central to everything delivered.