Background information about the job or company (e.g., role context, company overview)

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.

Responsibilities or duties

Uphold the company code of conduct, policies and procedures, ensuring integrity and accountability in every aspect of your work.

All employees have a responsibility to adhere to safety, health, and wellbeing policies, guidelines and procedures in all actions and decisions.

Qualifications or requirements (e.g., education, skills)

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

Experience needed

Possession of DBA skills is a plus, including performing routine DBA tasks such as capacity management, troubleshooting, and performance tuning.

Any other provided details (e.g., benefits, work environment, team info, or additional notes)

Coding and support of all ETL and analytics processes used within the Data Processing & Analytics platforms.

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, including the capturing of business application information needs and mapping the same to software and/or database components.

Automate processes across the Data & Analytics ecosystem to enable self healing and proactive monitoring.

Perform root cause analysis on application- and data related incidents.

Perform platform upgrades across all data processing components, including front-end, middle-tier, and back-end tiers.

Research and provide input on design approaches, performance improvements, and base functionality enhancements for various procedures and applications.

Generate ideas to improve efficiency in software and application services offered to the business and/or generate revenue for the business.

Participation and membership in various technical fora for the purpose of increasing the collective knowledge base of the team

• Coding and support of all ETL and analytics processes used within the Data Processing & Analytics platforms.
• 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, including the capturing of business application information needs and mapping the same to software and/or database components.
• Automate processes across the Data & Analytics ecosystem to enable self healing and proactive monitoring.
• Perform root cause analysis on application- and data related incidents.
• Perform platform upgrades across all data processing components, including front-end, middle-tier, and back-end tiers.
• Research and provide input on design approaches, performance improvements, and base functionality enhancements for various procedures and applications.
• Generate ideas to improve efficiency in software and application services offered to the business and/or generate revenue for the business.
• Participation and membership in various technical fora for the purpose of increasing the collective knowledge base of the team

• Advanced scripting skills in UNIX/LINUX
• Advanced enterprise and opensource ETL knowledge in Informatica, SSIS, NIFI
• 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

• 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