Job Opportunities at Safaricom

DESCRIPTION

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

QUALIFICATIONS

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.

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DESCRIPTION

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.

Responsibilities

• 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.

QUALIFICATIONS

• 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.