Developer - Data Analytics Job Safaricom
- Kenya
- Permanent
- Full-time
- 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.
- Programming skills such as Java, C++.
- 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
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