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  • Posted: Mar 26, 2021
    Deadline: Apr 1, 2021
  • Safaricom is a leading communications company in Kenya with the widest and strongest coverage. The home of the famous Mobile Money service- M-PESA
    Read more about this company


    BSS Engineer



    We are pleased to announce the vacancy for BSS - Engineer within Technology. In keeping with our current business needs, we are looking for a person who meets the criteria indicated below.

    Detailed Description

    Reporting to Team Manager Regional Network & Implementation, the position holder will manager network elements fault clearance to ensure TCH availability of 99.8%, average NUR of less than 10min per week, and proper preventive maintenance of the BSS network, transmission equipment and the related power supply in owned sites.

    Job Responsibilities

    • Network element fault clearance.
    • Perform proper preventive maintenance of all network elements and document results for owned sites on a monthly basis.
    • Ensure proper site acceptance.
    • Ensure proper contractors control.
    • Proper works Orders execution.
    • Proper use of defined processes and procedures in daily work


    Job Requirements

    • University /HND/ Diploma in Electrical and Electronics Engineering with a bias in Telecomm.
    • Undergraduate degree in either Electrical, Telecommunications Engineering or equivalent from a reputable institution;
    • 1 year telecommunications experience in GSM related field;
    • 1 year valid Driving License.

    go to method of application »

    Data Engineer


    We are pleased to announce the following Position in the Digital IT Department within the Technology Division.   In keeping with our current business needs, we are looking for a person who meets the criteria indicated below.

     Brief Description.

     Reporting to the Manager - Data Engineering, the position holder will be responsible for software design and development, testing, trouble shooting, third line support as well as Research and Development.


    • Perform technical aspects of big data development for assigned applications including design, developing prototypes, and coding assignments.
    • Build analytics software through consistent development practices that will be used to deliver data to end users for exploration, advanced analytics and visualizations for day to day business reporting.
    • Plan and deliver highly scalable distributed big data systems, using different open source technologies including but not limited to Apache Kafka, Nifi, HBase, Cassandra, Hive, MongoDB, Postgres, Redis DB etc.
    • Code, test, and document scripts for managing different data pipelines and the big data cluster.
    • Receive escalated, technically complex mission critical issues, and maintain ownership of the issue until it is resolved completely.
    • Hands on to troubleshoot incidents, formulate theories and test hypothesis, and narrow down possibilities to find the root cause.
    • Develop tools, and scripts to automate troubleshooting activities.
    • Drive further improvements in the big data platform, tooling and processes.
    • Upgrading products/services and applying patches as necessary.
    • Maintaining backup and restoring the ETL and Reports repositories and other Systems binaries and source codes.
    • Build tools for yourself and others to increase efficiency and to make hard or repetitive tasks easy and quick.
    • Develop machine learning algorithms and libraries for problem solving and AI operations.
    • Research and provide input on design approach, performance and base functionality improvements for various software applications.


    • Highly proficient in more than one modern language, e.g. Java/C#/NodeJS/Python/Scala.
    • Experience with relational data stores as well as one or more NoSQL data stores (e.g., Mongo, Cassandra).
    • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.
    • Demonstrated proficiency with data structures, algorithms, distributed computing, and ETL systems.
    • Experience with various messaging systems, such as Kafka or RabbitMQ.
    • Good knowledge of and experience with big data frameworks such as Apache Hive, Spark,
    • A working knowledge and experience of SQL scripting.
    • Experience in deploying and managing Machine Learning models at scale is an added advantage.
    • Hands on implementation and delivery of apache Spark workloads in an Agile working environment is an added advantage.

    Method of Application

    Use the link(s) below to apply on company website.


    Note: Never pay for any training, certificate, assessment, or testing to the recruiter.

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