Engineer - Data and Analytics. at MTN Nigeria

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
1 day ago

Additional Details

Job ID
126771
Job Views
23

Job Description






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)



Education:




  • First degree in Computer Science or any related discipline  

  • Fluent in English  



Experience:



3 – 7 years of experience in an area of specialization; with experience with working with others 




  • Experience working in a medium-sized organization  

  • Experience in Enterprise Application Support



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