Mid-level Jobs in Kenya

243 jobs found

UNEP

Senior Data Engineering Assistant, G7

Nairobi

Kenya

Closed for applications
United States International University - Africa

Disability Inclusion Officer

Nairobi

Kenya

Closed for applications
Kisii University

Student Counsellor

Kisii

Kenya

Closed for applications
Kisii University

Laboratory Technologist - Biomedical Technologist

Kisii

Kenya

Closed for applications
Kisii University

Laboratory Technologist - Biochemistry Technologist

Kisii

Kenya

Closed for applications
Kisii University

Associate Professor - Anatomy

Kisii

Kenya

Closed for applications
Kisii University

Associate Professor - Pathology

Kisii

Kenya

Closed for applications
Kisii University

Animal Health Technologist

Kisii

Kenya

Closed for applications
Kisii University

Senior Lecturer - Agricultural Extension

Kisii

Kenya

Closed for applications

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Kisii University

Senior Lecturer - Clinical Medicine

Kisii

Kenya

Closed for applications

Country / Region

Profession (Mid-level)

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UNEP

Non-profit + 1 more

Senior Data Engineering Assistant, G7

Closed for applications
Job details

Contract Type

Description

Education

  • High school diploma or equivalent is required.

Work Experience

  • A minimum of 10 years of experience in data engineering, data integration, data management, software development, database systems, information management or a related area is required.
  • The minimum years of relevant experience is reduced to eight (8) years for candidates who possess a first-level university degree or higher.
  • Experience with cloud platforms and cloud resource management on Azure or Amazon Web Services (AWS), as well as a strong foundation in Linux, is required.


Responsibilities
  • Responds to requests for extract, transform and load (ETL/ELT) work and prepares design notes and decision support material for the creation, optimization and monitoring of data pipelines that feed UNEP’s enterprise data platforms and the World Environment Situation Room.
  • Assembles and curates data sets from multiple internal and external sources (environmental, geospatial, administrative, partner-provided), and supports the integration of more complex, high-volume or streaming data sets needed by data engineers, data scientists and application teams.
  • Provides input to the design, configuration and documentation of data infrastructure components (data lakes, warehouses, integration services, workflow/orchestration tools, containerized services) operated by the Infrastructure and DevOps Group, ensuring that naming, metadata and security conventions are applied consistently.
  • Assist in the management of the organization’s cloud hosting subscription and the respective cloud resources


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