The position for Data Engineer in the Operations and Information Systems Section of the Office of Investment Management (OIM) of the United Nations Joint Staff Pension Fund (UNJSPF).

Responsibilities

•  Manage individual projects regarding the optimal extraction, transformation, and loading of data from a wide variety of sources into data pipelines, as well as the creation and maintenance of data catalogues
• Create, maintain, and optimize the managed data pipelines consisting of a series of stages as workloads move from development to production for specific use cases.
• Design and develop solutions for data-related technical problems and data infrastructure needs surfacing by Executive, Analytics and Design teams; and provide training in data pipelining and preparation techniques.
• Manage the identification, design, and implementation of internal process improvements
• Deploy resources to extract data features from complex datasets for data scientists and data analysts
• Manage the implementation of changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements

Requirements

• Knowledge of data analysis life cycle from ingest and wrangling to analysis and visualization to present findings.
• Also has the knowledge of best practices and IT operations in an always-up, always-available service.
• needs to have strong analytic skills related to working with unstructured datasets.
• has the ability in managing and communicating data warehouse plans to internal clients along with excellent problem solving and troubleshooting skills.
• working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• In addition, individuals must be process-oriented with great documentation skills.
• Ability to convey complex / difficult data science topics to clients in a relatable manner.
• Can apply judgment in the context of assignments given, plan own work and manage conflicting priorities.
• In addition, works collaboratively with colleagues to achieve organizational goals
• Moreover, possess the ability to adjust priorities, allocate time and resources, foresee risks and allow for contingencies when planning.

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Education

Advanced university degree (Master’s degree or equivalent) in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field.

Selection criteria also may accept a first-level university degree in combination with qualifying experience in place of an advanced university degree.

Work Experience Requirements

• A minimum of five years of experience in data management, integration, modelling, optimization, and other relevant areas.
• Also a minimum of five years of experience in designing data integration and pipeline architectures.
• Experience supporting cross-functional teams and collaborating with stakeholders in support of analytics initiatives.
• A few Experience in programming languages as well as database programming languages.
• Also has experience in DataOps toolchains or equivalent tools as well as with the deployment of data pipelines.
• In addition, experience in delivering big data use cases is desirable.
• Experience in Artificial Intelligence, particularly Machine Learning techniques for data mining and extraction of large amounts of data is desirable.
• Moreover, experience working with self-service analytics applications is also desirable.

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Languages

English and French are the working languages of the UN Secretariat. For this position, knowledge of another UN official language is desirable.

Special Notice

•  Onboarding of the successful candidate may be in early 2022.
• United Nations strongly encourages female candidates to apply for this position.
•  For this position, applicants from the following Member States, which are unrepresented or underrepresented in the United Nations Secretariat as of 30 November 2020, are strongly encouraged to apply.