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• Review commonly used hardware and software for data processing from
  open source and commercial sector and a list of computing platforms that
  Pulse Lab Kampala already has access to through global and local
  partnerships;
• Identify the best solutions for data engineering in line with the
  Pulse Lab Kampala research plan and given the data types and
  characteristics of Pulse Lab Kampala’s research;
• Provide technical assistance and support to the design and
  implementation of projects in the portfolio through consultation with the
  Government, donors, UN agencies, NGOs/CSOs and other partners; 
• Support the formulation exercise by facilitating engagement with
  partners and stakeholders on a needs assessment and preparing the correct
  infrastructure for all data related outputs of Pulse Lab Kampala;
• Conduct analyses of the current technical systems and provide
  recommendations to Pulse Lab Kampala stakeholders;
• Support to the management and implementation of the project,
  including ensuring effective quality assurance and providing technical
  inputs on PLK Lab activities as well as effective knowledge transfer and
  capacity building to partners and stakeholders
• Offer assistance to the effective management of large and strategic
  national and regional projects in Africa by providing quality technical
  support in data management, data streaming and systems integration;
• Ensure effective application of new technologies that will enable
  more efficiency within Pulse Lab Kampala research;
• Conduct day to day quantitative data analysis, writing back-end side
  data processing software with Pulse Lab Kampala research team
• Support the production of Pulse Lab Toolkits across the Global Pulse
  Lab Network;
• Support knowledge generation and knowledge sharing based on project
  experiences, and, when appropriate, make contributions to knowledge
  networks and communities of practice;
• Actively participate in discussions related to technical aspects of
  data engineering and analytics as well as the identification of common
  engineering and processing functionalities with Global Pulse labs;
• Produce open source standard documents for the toolkit developed;
• Extract and prepare data for analysis from big and small datasets
  including from official statistics;
• Assist to interpret analysis results quantitatively in support of
  Pulse Lab Kampala Research Team

• The ideal applicant for the United Nations UNDP Senior Data Engineer
  job placement should hold an advanced university degree (Master’s degree
  or equivalent) in Computer Science, Machine Learning, Mathematics,
  Statistics, or related field. A first-level university degree in
  combination with Eight years of qualifying experience may be accepted in
  lieu of the advanced university degree.
• Five years of experience in the following:
• Experience working on machine learning algorithms or other aspects
  of AI;
• Experience with stream computing and data warehousing;
• Experience with rapid application development (agile, extreme,
  scrum, lean);
• Experience working with Amazon EC2 or Hadoop or similar;
• Experience working with open source data processing frameworks is a
  plus;

• Demonstrates integrity by modeling the UN’s values and ethical
  standards;
• Advocates and promotes the vision, mission, and strategic goals of
  the UN;
• Displays cultural, gender, religion, race, nationality and age
  sensitivity and adaptability;
• Treats all people fairly without favoritism;
• Demonstrates and promotes the values of the UN in actions and
  decisions and acts in accordance with the standard of conduct for
  international civil servants;
• Shows willingness to work without bias with all persons regardless
  of gender, nationality, religion or culture;
• Contributes effectively to team-based activities, working
  collaboratively and sharing information openly; works effectively with
  colleagues inside the UN as well as its partners and other stakeholders to
  pursue common goals;
• Facilitates and encourages open communication in the team,
  communicating effectively;
• Remains calm, composed and patient when facing conflict, manages
  conflict productively, focusing on mutually acceptable solutions;
• Takes initiative and seeks opportunities to initiate action;
• Actively produces and disseminates new knowledge;
  creates/contributes to mechanisms to collect and share knowledge;
• Actively seeks learning opportunities; demonstrates commitment to
  ongoing professional development;
• Proposes innovative ideas and new solutions to work.

• Excellent programming skills using script languages such as Python
  and PHP;
• Good understanding of data engineering and data processing solutions
  and platform;
• Fair knowledge of big data, data analysis, and system performance;
• Comfortable in a dynamic and flexible work environment, with an
  innovative mindset and in a lab; environment;
• Demonstrating/safeguarding ethics and integrity; 
• Demonstrate corporate knowledge and sound judgment;
• Self-development, initiative-taking, eager to learn new
  technologies;
• Acting as a team player and facilitating teamwork;
• Facilitating and encouraging open communication in the team,
  communicating effectively;
• Creating synergies through self-control;
• Managing conflict;
• Learning and sharing knowledge and encourage the learning of others.
  Promoting learning and knowledge management/sharing is the responsibility
  of each staff member;
• Informed and transparent decision making;
• Independent and driven, and able to manage and lead without close
  supervision;
• Flexible, adaptable, and comfortable working in a start-up
  environment;
• Excellent communication skills;
• Flexible, adaptable, and comfortable working in a start-up
  environment;
• Ability to work directly with internal and external clients to
  define requirements for analysis and reporting.

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