Big Data Specialist

rwanda meteorology agency (METEO)

Level:3.II

Post:1

Under Contract

Posted on

Jun 17, 2026

Deadline

Jun 25, 2026

Exams to be conducted

• 1:PsychometricTest
• 2:Written
• 3:Oral

Reports To

Data Observations, Quality Control and Processing Division Manager

Job responsibilities

1. Operate, maintain and protect the Climate Data Management System according to Standard Operating Procedures, and archive the observational data and metadata records according to professional standards
   • Gather, accumulate all weather and climate data from different national sources, clean it, organize it, in a format acceptable by the database management system in current use.
   • Register all data reports in appropriate logbooks and digital templates as required of QMS following WMO guidelines.
   • Process the data and analyze it to extract valuable insights and information.
   • Identify new sources of data, the period of data reports and develop methods to improve data mining, analysis and reporting.
   • Write SQL queries to assist in ensuring the data arrangement by station names, type of data and period is extracted from the database.
2. To ensure the storage of data is enough and its backup and all are securely accessible;
   • Ensure that all stations reports are archived systematically, create new data definitions for new databases and document alterations made to the already existing ones for purposes of improving analysis, archiving and the management.
3. Fulfill internal and external data requisitions;
   • Interpreting data, analyzing results using statistical techniques, graphs or charts
   • Identify, analyze, and interpret trends or patterns in complex data sets,
   • Present the findings in reports (tables, charts and or graphs)
   • Work with management to prioritize business and information needs based on the findings.
   • Monitor the performance of data mining system and fix issues arising from the system.
   • Keep track of the trends and correlational patterns among complex data sets.
   • Perform routine analysis tasks to support day-to-day business functioning and decision making.
   • Collaborate with Data quality specialist to develop innovative analytical tools.
   • Work in close collaboration with both the data management team and IT team to accomplish the institutional goals.

NB: A professional/technical certificate or one (1) year relevant working experience in cluster computing resources, climate database management systems, climate modeling, Linux/Unix servers, Python programming languages is required on both Master's and Bachelor's degree

Qualifications

1. Bachelor's Degree in Data Science
2. 3 Years of relevant experience
3. Master's Degree in Data Sciences
4. 1 Years of relevant experience
5. Bachelor’s Degree in Mathematical Sciences
6. 3 Years of relevant experience
7. Master's Degree in Mathematical Sciences
8. 0 Year of relevant experience
9. Master's Degree in Mathematical Science
10. 3 Years of relevant experience
11. Bachelor’s Degree in Big Data
12. 3 Years of relevant experience
13. Bachelor’s Degree in Machine Learning and Artificial Intelligence
14. 3 Years of relevant experience
15. Bachelor’s Degree in Computer Systems
16. 3 Years of relevant experience
17. Master’s Degree in Big Data
18. 1 Years of relevant experience
19. Master’s Degree in Machine Learning and Artificial Intelligence
20. 1 Years of relevant experience
21. Master’s Degree in Computer Systems
22. 1 Years of relevant experience

Required competencies and key technical skills

• Integrity
• Strong critical thinking skills and excellent problem solving skills
• Inclusiveness
• Accountability
• Communication
• Teamwork
• Client/citizen focus
• Professionalism
• Commitment to continuous learning
• Resource management skills
• Analytical skills
• Problem solving skills
• Decision making skills
• Time management skills
• Performance management skills
• Results oriented
• Digital literacy skills
• Fluency in Kinyarwanda, English and / or French. Knowledge of all is an added advantage
• Capacity to run scripts, programming languages and manipulating cluster computer;
• Knowledge in quality control, methods of meteorological observations, programming languages
• Data management systems skills
• Data servers and dataset skills
• Ability to provide guidance in weather and climate data processing according to international standards, including WMO guidelines, QMS ISO 9001:2015 and regional/national standard operating procedures
• Ability to operate a large-scale meteorological data handling system

Psychometric Languages

• English

Psychometric Domains

• Problem solving

Competence / Skills

• Decision making
• Analytical skills

Behavior and attitude

• Processing speed
• Attention and concentration
• Coordination

• Operate, maintain and protect the Climate Data Management System according to Standard Operating Procedures, and archive the observational data and metadata records according to professional standards
• Gather, accumulate all weather and climate data from different national sources, clean it, organize it, in a format acceptable by the database management system in current use.
• Register all data reports in appropriate logbooks and digital templates as required of QMS following WMO guidelines.
• Process the data and analyze it to extract valuable insights and information.
• Identify new sources of data, the period of data reports and develop methods to improve data mining, analysis and reporting.
• Write SQL queries to assist in ensuring the data arrangement by station names, type of data and period is extracted from the database.
• To ensure the storage of data is enough and its backup and all are securely accessible;
• Ensure that all stations reports are archived systematically, create new data definitions for new databases and document alterations made to the already existing ones for purposes of improving analysis, archiving and the management.
• Fulfill internal and external data requisitions;
• Interpreting data, analyzing results using statistical techniques, graphs or charts
• Identify, analyze, and interpret trends or patterns in complex data sets,
• Present the findings in reports (tables, charts and or graphs)
• Work with management to prioritize business and information needs based on the findings.
• Monitor the performance of data mining system and fix issues arising from the system.
• Keep track of the trends and correlational patterns among complex data sets.
• Perform routine analysis tasks to support day-to-day business functioning and decision making.
• Collaborate with Data quality specialist to develop innovative analytical tools.
• Work in close collaboration with both the data management team and IT team to accomplish the institutional goals.

• Integrity
• Strong critical thinking skills and excellent problem solving skills
• Inclusiveness
• Accountability
• Communication
• Teamwork
• Client/citizen focus
• Professionalism
• Commitment to continuous learning
• Resource management skills
• Analytical skills
• Problem solving skills
• Decision making skills
• Time management skills
• Performance management skills
• Results oriented
• Digital literacy skills
• Fluency in Kinyarwanda, English and / or French. Knowledge of all is an added advantage
• Capacity to run scripts, programming languages and manipulating cluster computer;
• Knowledge in quality control, methods of meteorological observations, programming languages
• Data management systems skills
• Data servers and dataset skills
• Ability to provide guidance in weather and climate data processing according to international standards, including WMO guidelines, QMS ISO 9001:2015 and regional/national standard operating procedures
• Ability to operate a large-scale meteorological data handling system

• Bachelor's Degree in Data Science
• Master's Degree in Data Sciences
• Bachelor’s Degree in Mathematical Sciences
• Master's Degree in Mathematical Sciences
• Master's Degree in Mathematical Science
• Bachelor’s Degree in Big Data
• Bachelor’s Degree in Machine Learning and Artificial Intelligence
• Bachelor’s Degree in Computer Systems
• Master’s Degree in Big Data
• Master’s Degree in Machine Learning and Artificial Intelligence
• Master’s Degree in Computer Systems