Sicredi

Data Engineer

• Develop and maintain robust, scalable, and auditable data pipelines, with a focus on governance and traceability.
• Integrate data from different sources, ensuring quality, consistency, security, and compliance with internal and regulatory standards.
• Implement and maintain data storage systems, such as data lakes and lakehouses, with a focus on performance and cost-effectiveness.
• Optimize data ingestion, transformation, and delivery processes using modern data engineering and automation practices.
• Contribute to data domain modeling and the design of analytical pipelines aligned with Internal Audit needs.
• Collaborate with data visualization and analytics teams, supporting efforts to extract value from information and build analytical environments.
• Participate in the analysis and modeling of internal systems, proposing efficient strategies for information capture, transport, and processing.
• Monitor and improve data system performance, proposing metrics and continuous improvement strategies.
• Lead technical discussions and negotiations with business and technology teams, proposing effective and sustainable solutions.

Mid-Level Internal Audit Data Engineer

• Develop and maintain robust, scalable, and auditable data pipelines, with a focus on governance and traceability.
• Integrate data from different sources, ensuring quality, consistency, security, and compliance with internal and regulatory standards.
• Implement and maintain data storage systems, such as data lakes and lakehouses, with a focus on performance and cost-effectiveness.
• Optimize data ingestion, transformation, and delivery processes using modern data engineering and automation practices.
• Contribute to data domain modeling and the structuring of analytical pipelines aligned with Internal Audit needs.
• Collaborate with data visualization and analytics teams, supporting efforts to derive value from information and build analytical environments.
• Participate in the analysis and modeling of internal systems, proposing efficient strategies for capturing, transporting, and processing information.
• Monitor and improve data system performance, proposing metrics and continuous improvement strategies.
• Lead technical negotiations with business and technology teams, proposing effective and sustainable solutions.