database design, and warehousing principles. • Ingest, transform, and integrate data from diverse sources into well-structured information assets. • Knowledge of distributed computing techniques, including parallelprocessing and batch workflow orchestration. • Proficiency in ETL, data pipelines, and building automated workflows. • Ability to optimise data systems for performance, scalability, reliability more »
use) and using git version control in large collaborative projects. An additional desirable skillset would be experience working with very large datasets and using parallelprocessing such as CUDA. Above all, we are seeking a candidate with a keen interest and passion for the evolving landscape of the more »
mixed integer programming Knowledge in algorithmics outside mathematical programming, for example graph algorithms, approximation algorithms and heuristics, constraints programming, dynamic programming, etc. Knowledge in parallelprocessing and hardware implementation aspects of mathematical algorithms Knowledge of performance tuning of optimization solutions Experience building solutions to real-life optimization problems more »
projects.Qualifications and Skills:Proven experience in data engineering, particularly with ETL processes, data pipeline construction, and workflow orchestration.Familiarity with distributed computing techniques, such as parallelprocessing and batch data management.Strong foundation in data system optimization, information security, and data governance.Ability to effectively communicate technical concepts to non-technical more »
projects.Qualifications and Skills:Proven experience in data engineering, particularly with ETL processes, data pipeline construction, and workflow orchestration.Familiarity with distributed computing techniques, such as parallelprocessing and batch data management.Strong foundation in data system optimization, information security, and data governance.Ability to effectively communicate technical concepts to non-technical more »
projects.Qualifications and Skills:Proven experience in data engineering, particularly with ETL processes, data pipeline construction, and workflow orchestration.Familiarity with distributed computing techniques, such as parallelprocessing and batch data management.Strong foundation in data system optimization, information security, and data governance.Ability to effectively communicate technical concepts to non-technical more »
