Qualifications

• Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
  
• Advanced UNIX / LINUX scripting, Python and SQL
  
• Advanced ETL knowledge in Informatica Cloud / IICS / IDMC, Apache NiFi and Kafka
  
• Oracle certification in database administration or application development
  
• AWS Certification in AWS Certified Cloud Practitioner or AWS Certified Data Engineer or CompTIA Data+
  
• MSc/MBA is an added advantage
  
• Working with relational databases such as MySQL, MS SQL Server, Oracle, PostgreSQL, Apache Hive and non-relational
  
• Databases such as MongoDB, Cassandra, Redis
  
• Programming skills such as Java, C++.
  

• 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.
  
• Development of ETL and analytics processes used within the BI & Analytics systems;
  
• Development of reliable data integration and preparation processes;
  
• Development of insightful dashboards and reports, tracking performance across channels for actionable data-driven decision-making and insights;
  
• Delivery of highly scalable distributed big data systems, using different open source technologies;
  
• 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;
  
• Performs data modeling design, architecture and build data structures within an application system;
  
• Perform the necessary technical design and development functionality to ensure that reporting needs can be effectively developed and implemented.
  
• Research and provide input on design approach, performance and base functionality improvements for various procedures and applications;
  
• Generation of ideas to improve efficiency in analytics and application services offered to the business, and/or generate revenue for business;
  

• Automation and enhancement of Business Intelligence processes leveraging AI for delivery of analytics solutions.
  

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