Data Engineer

The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonisation of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialised agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council.

This position is located in the Information and Communications Technology Section (ICTS) within ESCWA’s Resource Management and Service Development Division (RMSDD). ICTS is part of the global UN ICT community headed by Chief Information Technology Officer (CITO) and partners globally to continue to modernize, transform and innovate ICT in the UN, while strengthening governance and optimizing resources. ICTS/RMSDD provides ICT services and support to ESCWA and UN entities. It includes management of ICT infrastructure and information security; acquisition and management of ICT equipment (inventory and assets); customer support through the Integrated Service Desk and fax unit; videoconference service provision; development, deployment and support of enterprise applications, local applications, Web applications, Mobile applications; reporting, analytics and dashboarding. The incumbent will report to the Chief of ICTS.

Responsibilities

• Within delegated authority, the Data Engineer will be responsible for the following duties: · 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 ·
• Design and develop solutions for data-related technical problems and data infrastructure needs surfaced by Executive, Analytics and Design teams ·
• Manage the identification, design, and implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability ·
• 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

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, is required. A first-level university degree (Bachelor’s degree or equivalent) in the specified fields of studies with two additional years of relevant work experience may be accepted in lieu of the advanced university degree.

Work Experience

• A minimum of five years of progressively responsible experience in data management, integration, modeling, optimization and other relevant areas, is required. Experience supporting cross-functional teams and collaborating with stakeholders in support of analytics initiatives is required.
• Experience in programming languages such as Python or R is required. Experience with database programming languages (SQL, etc.) is required.
• Experience in designing data integration and pipeline architectures which must include ingesting data through different methods such as message queues, database connections, flat files, REST, or specific API’s, is required. Experience in DevOps tool chains consisting of tools like Git, Jenkins or Bamboo – or equivalent tools – and experience with the deployment of data pipelines is required.
• Experience in delivering big data use cases is desirable, including projects using technology such as Apache Spark, Hadoop or others. Experience in Artificial Intelligence, particularly Machine Learning techniques for data mining and extraction of large amounts of data is desirable, particularly familiarity with concepts of bias and fairness (i.e., how to identify, assess, and minimize harmful biases, discrimination, and unfair outcomes in algorithmic systems and data).
• Experience working with self-service analytics applications like Microsoft PowerBI, Tableau, Qlik and others for data discovery is desirable.

Languages

• English and French are the working languages of the United Nations Secretariat. In addition, Arabic is a working language at ESCWA. For this position, fluency in English is required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.

Source: https://careers.un.org/jobSearchDescription/236799?language=en