Mid-level Jobs in Ngewa, Kenya

191 jobs found

UNEP

Senior Data Engineering Assistant, G7

Nairobi

Kenya

INUA AI

Group Chief Growth Officer (GCGO)

Nairobi

Kenya

Oracom Web Solutions

Sales Specialist - Construction & Industrial Chemicals

Nairobi

Kenya

Oracom Web Solutions

Sales Specialist - Consumer & Agri-Business Products

Nairobi

Kenya

Leading company in Computers, software development and services

Client Manager, Channel Sales

Nairobi

Kenya

National Bank of Kenya

Retail Sales Manager

Nairobi

Kenya

National Bank of Kenya

Manager, Women Banking – Almasi Lady

Nairobi

Kenya

National Bank of Kenya

Credit Analyst, Islamic Banking

Nairobi

Kenya

National Bank of Kenya

Manager Products Islamic Banking

Nairobi

Kenya

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National Bank of Kenya

Manager MSME, Islamic Banking

Nairobi

Kenya

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UNEP

Non-profit + 1 more

Senior Data Engineering Assistant, G7

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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