Data Engineering Assistant

Responsibilities
Within delegated authority, the Data Engineering Assistant will be responsible for the following duties: Responds to requests for data extract, transform and load and prepares design document and decision support for the creation of data pipelines and maintains data catalogue in their area Assembles data sets in their area, supports assembly of complex data sets Provides input to the design and development of data infrastructure and drafts documentation and formal design documents Maintains specific information products in their area and assists more senior staff in providing information products to others Maintains data governance, protection and security in their area Maintains data management tools in their area Guides, trains and supervises other general service staff in the function. Performs other duties as assigned.
Competencies
Professionalism: Thoroughly understands data analysis life cycle from ingest and wrangling to analysis and visualization to present findings. Strong experience with best practices and IT operations in an always-up, always-available service. Regularly applies Agile Software Development methodologies. Works with unstructured datasets. Independently supports managing and communicating data warehouse plans to internal clients. Works with big data stores and other technologies that can process massive datasets. Documents their work. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Independently plans their work and activities based on a high-level plan. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Planning & Organizing: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently. Technological Awareness: Keeps abreast of available technology; understands applicability and limitation of technology to the work of the office; actively seeks to apply technology to appropriate tasks; shows willingness to learn new technology.
Education
High school diploma or equivalent is required.
Job - Specific Qualification
A first-level university degree (Bachelor s degree or equivalent) in Information Systems Management, Software Engineering, or related field is desirable. A technical certificate in AWS and/or Azure is desirable. A technical certificate in Prince2/PMP is desirable.
Work Experience
A minimum of 10 years of experience in data science, data analytics, applied mathematics, information management, software development, database systems or related area, is required. The minimum years of relevant experience is reduced to 8 for candidates who possess a first-level university degree or higher. A minimum of 8 years of experience in Data analysis, Data Warehousing, Data Lakes, Data Virtualization, Data Governance is desirable. A minimum of 5 years of experience in a similar role is desirable. Experience in the UN system is desirable. Experience with Software processes & agile practices 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.
Assessment
Evaluation of qualified applicants may include one or more assessments which may be followed by a competency-based interview.

Desired Candidate Profile

Education:
Bachelor of Technology/Engineering
Gender:
nm
Nationality:
Any Nationality