Engineer - Data and Analytics. at MTN Nigeria

MTN NigeriaLagos, Nigeria Data and Artificial Intelligence

Full Time

MTN Nigeria is part of the MTN Group, Africa\'s leading cellular telecommunications company. On May 16, 2001, MTN became the first GSM network to make a call following the globally lauded Nigerian GSM auction conducted by the Nigerian Communications Commission earlier in the year. Thereafter the company launched full commercial operations beginning with Lagos, Abuja and Port Harcourt. MTN paid $285m for one of four GSM licenses in Nigeria in January 2001. To date, in excess of US$1.8 billion has been invested building mobile telecommunications infrastructure in Nigeria. Since launch in August 2001, MTN has steadily deployed its services across Nigeria. It now provides services in 223 cities and towns, more than 10,000 villages and communities and a growing number of highways across the country, spanning the 36 states of the Nigeria and the Federal Capital Territory, Abuja. Many of these villages and communities are being connected to the world of telecommunications for the first time ever. The company\'s digital microwave transmission backbone, the 3,400 Kilometre Y\'elloBahn was commissioned by President Olusegun Obasanjo in January 2003 and is reputed to be the most extensive digital microwave transmission infrastructure in all of Africa. The Y\'elloBahn has significantly helped to enhance call quality on MTN network.

Reports To: Manager - Operations Data and Analytics

Division: Information Technology

Mission:

Design, build, and maintains large-scale data systems, architectures, and pipelines, ensuring data quality, security, and scalability. Leverage programming languages, data tools, and cloud technologies to drive business insights, inform decision-making, and deliver data-driven solutions, bridging the gap between data and business outcomes.

Description:

Assist in developing maintenance plans per application and carry out the maintenance of applications, re-configuring, building and testing components in accordance with OLAs and SLAs.
Ensure Code applications is in accordance with good security coding practices to ensure the application is free of most common coding vulnerabilities.
Create and execute technical test plans for operational and bug fixes.
Participate in transitions of the application or technical architecture, design and development components into production environment
Ensure the integrity of the solutions delivered into production environment.
Perform reconciliations, proactive monitoring and ensure adequate service controls are in place.
Design, build, and maintain large-scale data systems, architectures, and pipelines
Ensure data quality, security, and scalability
Develop and implement data integration, processing, and visualization solutions
Work with stakeholders to understand business requirements and deliver data-driven solutions
Collaborate with data scientists, analysts, and other engineers to drive business outcomes
Stay up-to-date with emerging trends, technologies, and methodologies in data engineering
Participate in transitions of the application or technical architecture components
Fix any defects and performance problems discovered in production
Develop information solutions from a variety of sources for both structured and unstructured data
Integrate big data solutions with existing reporting and analytical solutions
Support team and enhancement to ETL system
Develop and implement big data models and solutions
Conduct root cause analysis on production issues
Guidance of entire information management process of both structured and unstructured data
Understand and interpret complex business requirements and translate them into useful BI applications
Understanding of Big Data principles, models and solutions e.g. Hadoop and apply it to current projects/initiatives
Participate in the Systems Development Life Cycle (SDLC)