Associate Data Engineer Job Vacancy In New York

Title of Post: P2 Associate Data Engineer
Job Code: ASSORTED DATA ENGINEER; Department/Office: Office of Investment Management, United Nations Joint Staff Pension Fund

Location of duty: New York
Posting Date: October 20, 2023 – December 3, 2023
23-Data Analytics and Management-UNJSPF OIM-219524-R-New York (R) is the job opening number.

Organizational Design and Reporting

The OIM’s Data Analytics and Business Applications division is where this role is located. The Senior Information Systems Officer in charge of Data Analytics and Business Applications is the person to whom the incumbent reports.

The Associate Data Engineer will be in charge of the following tasks under their designated authority:

Determine which datasets need to be assembled across the enterprise, then work with stakeholders to collect and handle the data.
Determine which datasets need to be assembled across the enterprise, then work with stakeholders to collect and handle the data.
Put technical issues relating to data to rest and upgrade the data infrastructure.

Redesign the architecture for higher scalability, automate manual operations, and optimize data delivery to improve internal processes.
For data scientists and analysts, extract data features from intricate databases.
Work together to expand existing solutions or co-create new ones with other technical personnel and developers.

Create and apply modifications to data systems to guarantee adherence to privacy, security, protection, and data governance regulations.

Professionalism: familiarity with computer networks and other information technology applications. Strong technological aptitude, capacity for network upkeep, server services, and user assistance. demonstrates professional competence and subject matter mastery; is conscientious and efficient in meeting commitments, adhering to deadlines, and achieving results; is driven by professional rather than personal concerns; perseveres in the face of challenging issues or challenges; maintains composure under pressure. a dedication to putting gender equality into practice by guaranteeing that men and women participate fully and equally in all facets of the workforce.
Collaboration: Assists coworkers in achieving organizational objectives; seeks feedback by sincerely appreciating their thoughts and experience; is open to learning from others; prioritizes team goals over personal agendas; supports and complies with collective decisions, even when they may not fully represent individual viewpoints; takes joint responsibility for collective failures as well as shares credit for team successes.

Creativity: actively works to make programs and services better; provides fresh perspectives on issues or tailors solutions to the needs of clients; encourages and convinces others to explore novel concepts; takes calculated risks with novel and unusual ideas; thinks “beyond the box”; is curious about novel concepts and novel approaches; and is unconstrained by conventional wisdom.

Instruction

advanced education in computer science, statistics, applied mathematics, data management, information systems, information science, or a comparable quantitative subject (Master’s degree or its equivalent). Instead of the advanced degree, a first-level university degree combined with appropriate experience may be accepted.

It is necessary to have at least two years of expertise in modeling, optimization, integration, data management, and other related fields.
It is necessary to have prior experience working with stakeholders to support analytics efforts and assisting cross-functional teams.
It is preferred if you have experience with database programming languages (SQL, etc.) and programming languages like Python or R.

It is desirable to have experience creating pipeline topologies and data integration systems that require the ingestion of data via various protocols, such message queues, database connections, flat files, REST, or particular APIs.
It is preferable to have prior experience with artificial intelligence, especially with machine learning techniques for large-scale data extraction and mining.
It is preferred to have prior experience working with self-service analytics software for data discovery, such as Microsoft PowerBI, Tableau, Qlik, and others.

Spoken Words

The UN Secretariat operates in two languages: French and English. English proficiency is necessary for this role. It is desirable to know another official language of the UN.

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