Vacancy title:
Data Engineer

Jobs at:
Safaricom

Deadline of this Job:
24th November 2018

Duty Station:
Nairobi, Kenya

Summary
Date Posted: 1st November 2018 , Base Salary: Not Disclosed , Employment Type: Full-Time

About the Company

JOB DETAILS:
We are pleased to announce the following Contract opportunity in the Big Data and Business Analytics Department within the Strategy and Innovation Division. In keeping with our current business needs, we are looking for persons who meets the criteria indicated below.

Reporting to the HOD – Big Data and Business Analytics, the position holder will design, build and deliver on the big data platform which will serve as Safaricom’s single source of truth. The platform will be used to continuously deliver on Safaricom’s overall data analytics strategy. Safaricom is investing heavily in big data and this will be a truly exciting role in view of the organizations unique data set and position in this region.

Responsibilities

•  Design, architect and build solutions and tools for the big data platform
  
•  Mediate and coordinate resolution of software project deliverables using agile methodology
  
•  Develop pipelines to ingest data into the big data platform based on business demands and use cases
  
•  Develop analytical platforms that will be used to avail data to end users for exploration, advanced analytics and visualizations for day to day business reporting
  
•  Provide guidance and advise to technology teams on the best use of latest technologies and designs to deliver a best in class platform in the most cost effective way
  
•  Develop automated monitoring solutions to be handed over to support teams to run and operate the platform efficiently
  
•  Automate and productionize data science models on the big data engineering platform
  

Qualifications

•  BS or MS in computer science or equivalent practical experience
  
•  At least 2-3 years of coding experience in a non-university setting.
  
•  Experience in Object Oriented development
  
•  Proficient understanding of distributed computing principles
  
•  Experience in collecting, storing, processing and analyzing large volumes of data.
  
•  Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  
•  Experience with various messaging systems, such as Kafka or RabbitMQ
  
•  Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  
• Understanding of big data technologies: Cloudera/MapR/Hortonworks