UNDP Data Engineer Jobs in Kampala Uganda

UN Global Pulse is a United Nations innovation initiative on Big Data. Its vision is a future in which big data is harnessed safely and responsibly as a public good.



Its mission is to accelerate discovery, development and scaled adoption of big data innovation for sustainable development and humanitarian action.


Global Pulse is building a catalytic network of in-country innovation centers, which will test new tools, data and analysis, share what lessons with the global community, mainstream successful approaches for real-time impact monitoring into policymaking.


The first Lab was established in New York (Pulse Lab New York) followed by Jakarta, Indonesia and Kampala, Uganda.


Working Relationships

The Data Engineer will report to the Senior Data Engineer. H/she will work to access and derive insights from large data sets to solve problems.

He or she must be able to work with a variety of data types, programming languages and platforms, must be comfortable with both hands-on development and research support, and must be adept at both understanding the information content of data and transforming and preparing it for analytical and reporting purposes.


Duties and Responsibilities


  • Use appropriate hardware and software for processing data 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;
  • Recommend solutions for data engineering in line with the Pulse Lab Kampala research plan and given the data types and characteristics of Pulse Lab Kampala‚Äôs research;
  • Provide technical input 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;
  • Conduct analyses of the current technical systems and provide recommendations to Pulse Lab Kampala stakeholders;
  • provide quality technical support in data management, data streaming and systems integration.
  • Effectively use and apply new technologies to enable more efficiency within Pulse Lab Kampala research;
  • Participate in 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;
  • Work with Pulse Lab Kampala Research Team to interpret analysis results quantitatively.


    Competencies


    Core Competencies:

  • 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

    Functional Competencies:

  • 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.


    Required Skills and Experience


  • 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 five years of qualifying experience may be accepted in lieu of the advanced university degree.

    3 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;


    How to apply

    Interested candidates should apply online by 30th July, 2018


    For more information and job application details, see; UNDP Data Engineer Jobs in Kampala Uganda



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