and other related technologies. Expertise in both relational (SQL) and non-relational databases (such as Cassandra, MongoDB, DynamoDB), with a solid understanding of Massively ParallelProcessing (MPP) and non-MPP data storage systems. Data Systems Expertise: Strong background in data integration platforms, orchestrating complex data workflows and transformations … using tools such as DataStage, Informatica, and Data Factory. General knowledge of data storage, query, processing and exposition technologies and trade-offs Experience in the design and implementation of Data & Analytics (D&A) operation scaling process framework (DataOps and MLOps), in order to ensure the productivity, reliability and security more »
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 »
