Recommend changes to implementation from analyses point-of-view during or after project implementation (e.g., based on database structure, technical check, etc.)
Able to independently execute high-level data management (restructuring, merging, complex computations, etc.) to prepare for analyses and charting. For complex datasets, do this with assistance of seniors.
Able to automate processing of the most common datasets by applying well-known techniques.
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Architect and operate secure cloud and hybrid infrastructure (AWS and on-premises) to support fraud data and machine learning platforms, ensuring scalability, resilience, and high availability.
Implement platform engineering best practices including containerisation, Infrastructure-as-Code, environment segregation, secrets management, and IAM governance with strict access controls.
Ensure auditability, security, and compliance of deployments and infrastructure changes, meeting regulatory and IT security requirements while optimising runtime stability, performance, and resource efficiency.
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Recommend changes to implementation from analyses point-of-view during or after project implementation (e.g., based on database structure, technical check, etc.)
Able to independently execute high-level data management (restructuring, merging, complex computations, etc.) to prepare for analyses and charting. For complex datasets, do this with assistance of seniors.
Able to automate processing of the most common datasets by applying well-known techniques.
...