Data Analytics Operations Engineer at

3 days ago

Nairobi, Nairobi Area, Kenya Safaricom Kenya Full time
Safaricom is the leading provider of converged communication solutions in Kenya.

In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet and Financial services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects.

Summary


Reporting to the Manager, Data Analytics Operations the position holder will offer leading expert solutions and technical guidance in administration, service provision and availability of all the Safaricom Business Intelligence and analytics systems.


RESPONSIBILITIES
Coding and Support of all ETL and analytics processes used within the BI & Analytics systems
Development and Support of reliable data ingestion and preparation processes
Troubleshooting and support of highly scalable distributed big data systems, using different open-source technologies including but not limited to Hadoop services
Design and development of front-end tier(s), middle tier(s), and /or back-end database tier(s) for business applications. Capturing of business applications information needs and mapping of the same to the software and /or database components
Automate processes across BI ecosystem which enables self-healing and proactive monitoring.
Perform root cause analysis on application and data related incidents
Platform upgrade across all BI warehouse components both on front end, middle tier(s) and back-end tier(s)
Possession of DBA skills is a plus. Performing routine DBA tasks including operation, troubleshooting & performance tuning
Research and provide input on design approach, performance and base functionality improvements for various procedures and applications
Generation of ideas to improve efficiency in software and application services offered to the business, and/or generate revenue for business
Participation and membership in various technical fora for the purpose of increasing the collective knowledge base of the team

QUALIFICATIONS
Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field
Advanced scripting skills in UNIX/LINUX
Advanced enterprise and opensource ETL knowledge in Informatica, SSIS, NIFI
Oracle certification in database administration or application development
Proficient in SQL for development, data analysis and manipulation
Programming skills such as Java, Python, Scala
Strong analytical and problem-solving skills
Experience with distributed big data applications such as Hadoop

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