Engineer - Data Analytics Operations at Safaricom Kenya

Responsibilities

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

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