![]() ETL), data storage, processing, and visualization tools is desirable.Ī minimum of two years of experience in DevOps tool chains consisting of tools like Git, Jenkins, orīamboo - or equivalent tools - and experience with the deployment of data pipelines is desirable.Ī minimum of two years of experience in delivering big data use cases, including projects using Must include ingesting data through different methods such as message queues, database connections,įlat files, REST, or specific API's is required.Ī minimum of five years of experience developing well-organized and insightful reports, dashboards, data mining, and other forms of data visualizations and data manipulation languages and tools (e.g., using Python, SQL, R, PowerBI, etc.) in support of strategic, tactical, and operational business decisions and special purposes uses is required.Įxperience with distributed systems and cloud services platform with an ecosystem of data integration/quality control (e.g. Modeling, optimization, and other relevant areas is required.Ī minimum of five years of experience in designing data integration and pipeline architectures, which Aįirst-level university degree in combination with qualifying experience may be accepted in lieu of theĮxperience: A minimum of five years of progressively responsible experience in data management, integration, Statistics, applied mathematics, data management, information science or a related quantitative field. Any other duties as assigned by the Chief of ICTSĪdvertisement Qualifications/special skillsĪcademic Qualifications: Advanced university degree (Master's degree or equivalent) in computer science, information systems,.Provide guidance to, and supervise, staff, consultants, ICs, etc.Develop training materials, operating and user manuals train staff in assigned systems.Leverage a variety of input sources (e.g., databases, flat files, vendor API's, DaaS (Data as a Service), custom applications) to populate different data solutions that drive better decision-making and prioritization within the organization and to Member States.Manage the implementation of changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements.Performing data mining and extraction of large amounts of data.Deploy resources to extract data features from complex datasets for data scientists and data analysts.Manage the identification, design, and implementation of internal process improvements i.e.: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability and more innovative digital data solution creation and management. ![]()
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