Big Data Platform Engineer at Safaricom Kenya

Brief Description

Reporting to the Data Infrastructure Chapter lead, the position holder will be responsible for the planning, design, implementation of Big Data platform infrastructure including servers, storage, server networking, backups, and public Cloud (AWS).

Responsibilities

Key accountabilities and decision ownership:

• Design, build, and troubleshooting data storage, RAID, disk volume management, backup, and disaster recovery.
• Allocation of servers and computing resources to Data Engineers, Machine Learning operations Engineers, and other approved users.
• Active participation in the section to enable team meet sectional and departmental Goals and objectives.
• Have a full understanding of the defined performance indicators, assigned tasks, and objectives set.
• Monitoring capacity threshold to ensure proactive upgrades are done to meet growing needs.  
• Reliability of planned design to achieve accurate, timely and economical delivery 
• Liaison with  implementation and support teams to ensure rollout follows the design and meets both the business and engineering specifications 
• Ensure vendor solutions are compliant to relevant standards or best practices.

Documentation and process: 

• Ensuring accurate, up-to date database documentation of On-Prem server footprint and public cloud infrastructure.  
• Adhere to the existing processes in workflow management. 
• Process review and recommendation on process improvement

Preparation of infrastructure projects, POC bid /RFQ documents and Evaluations. 

• Learn/research on new technologies/practices in the public cloud and infrastructure domain.
• Running of POCs and subsequent recommendations for approval
• Development of design principles to guide future deployment

QUALIFICATIONS

• BSc /B-Tech in computer Science/Electrical and communication/ Telecoms, Engineering, or a similar field.
• At Least 5 years’ experience as cloud engineer, Systems administrator, Network administrator or analyst in a multifaceted business environment with integrated/mixed windows and major UNIX/Linux server environment.
• Above 5 years’ experience in a busy IT or Telecommunications environment –Involved in Strategy Modeling, Planning, Design and Optimization of compute and storage infrastructure
• AWS Cloud knowledge and deployment models.
• Experience in working with Bigdata systems such as Hadoop, NiFi, Kafka, Airflow
• Experience working with agile methodologies, such as Scrum, Kanban, XP, BDD and TDD.
• Strong data analytical skills, analytical thinking, attention to details and ability to identify solutions to complex problems.
• Great Stakeholder management skills
• Demonstrate excellent Planning and organizing skills
• Team spirit and good communication abilities
• Proven Track record in delivering results
• Strong oral, written, interpersonal communication and leadership skills
• Certification in any of the following Systems and Network or related trainings is an added advantage
  • AWS Certified Solution Architect certification
  • Red Hat Certified Specialist in Advanced Automation
  • Scrum Fundamentals Certified
  • Network certification e.g., CCNA, CCNP
  • UNIX/Linux certification
  • VMware certification e.g., VCP
  • Certified Kubernetes Administrator (CKA)