Data Analytics Platform Engineer

3 weeks ago

Nairobi, Nairobi Area, Kenya SAFARICOM Full time

ABOUT THE COMPANY

Safaricom, Ltd is a leading mobile network operator in Kenya. It was formed in 1997 as a fully owned subsidiary of Telkom Kenya. In May 2000, Vodafone Group Plc of the United Kingdom acquired a 40% stake and management responsibility for the company. Safaricom employs over 1,500 people mainly stationed in Nairobi and other big cities like Mombasa, Kisumu, Nakuru and Eldoret in which it manages retail outlets. Currently, it has nationwide dealerships to ensure customers across the country have access to its products and services.

JOB SUMMARY

QUALIFICATIONSBS or MS in computer science or equivalent practical experienceAt least 2-3 years of coding experience in a non-university setting.Proficient understanding of distributed computing principlesExperience in collecting, storing, processing and analyzing large volumes of data.Proficiency in understanding database technologiesExcellent written and verbal communication skillsUnderstanding of big data technologies: Cloudera/Hortonworks

RESPONSIBILITIES

Platform Architecture: Design and develop a scalable and extensible data analytics platform to support the organization's data-driven initiatives. Architect data pipelines, storage solutions, and analytics frameworks to handle large volumes of data efficiently.Data visualization - Creating visualizations such as charts, graphs, and dashboards to communicate insights effectively to stakeholders.Data Integration and Processing: Implement data ingestion pipelines to integrate data from various sources, including databases, data warehouses, APIs, and streaming platforms. Develop ETL (Extract, Transform, Load) processes to preprocess and clean raw data for analysis. Analytics Tools and Technologies: Evaluate, select, and integrate analytics tools and technologies to support data exploration, visualization, and modeling. Implement and optimize databases, data warehouses, and analytics frameworks such as SQL, Hadoop, Spark, and Elasticsearch. Scalability and Performance: Optimize data processing pipelines and analytics workflows for scalability, performance, and efficiency. Implement parallel processing, distributed computing, and caching mechanisms to handle large-scale data analytics workloads. Data Governance and Security: Ensure compliance with data governance policies, regulatory requirements, and security best practices. Implement access controls, encryption, and auditing mechanisms to protect sensitive data and ensure data privacy and confidentiality. Monitoring and Maintenance: Develop monitoring and alerting systems to track platform performance, data quality, and system health. Proactively identify and resolve issues to minimize downtime and ensure uninterrupted data analytics operations. Automation and DevOps: Implement automation pipelines for infrastructure provisioning, configuration management, and deployment. Establish continuous integration and continuous deployment (CI/CD) processes to streamline platform development and operations. Documentation and Training: Document platform architecture, data pipelines, and analytics workflows. Provide training and support to data analysts and data scientists to ensure effective use of the data analytics platform.

REQUIRED SKILLS

Software architecture, Testing and debugging, User experience (UX and UI) design, Digital content development and editing (social media, blogs, etc.), Database query languages (SQL, others)

REQUIRED EDUCATION

Bachelor's degree

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