Specialist, Enterprise Support Services at 9mobile

9mobile is a Nigerian private limited liability company. EMTS acquired a Unified Access Service License from the Nigerian Communications Commission in 2007. The License enables EMTS provide Fixed Telephony (wired or wireless), Digital Mobile Services, International Gateway Services and National/Regional Long Distance Services in addition to spectrum assignments in the 900 and 1800 MHz bands.

We are recruiting to fill the position below:

 

Job Title: Specialist, Enterprise Support Services

Job ID: IRC5228
Location: Lagos

Job Summary

  • Lead the design, implementation, and maintenance of Big data infrastructure and tools, including collecting, storing, processing and analyzing our data and data systems.
  • Campaigning and analyzing our data and data systems. Service and Resource/Infrastructure capacity development and governance across enterprise systems

Principal Functions
Tactical:

  • Assist in the implementation of approved policies and procedures for Big data infrastructure and tools design, implementation and maintenance.
  • Create, execute, and monitor the performance of campaigns.
  • Partner with business leaders, IT service operations team and other relevant stakeholders to identify Big data solution and infrastructure in line with Business requirements.
  • Responsible for planning of Big data solution and infrastructure upgrades and deployment.
  • Create integrated campaigns based on market segments to gain new customers and build repeat business.
  • Design and develop data applications and reports using selected tools and frameworks as required and requested.

Operational:

  • Provide technical and operational support in management of Big data solution and infrastructure in a highly dynamic business environment and to support business
  • Provide support in the implementation and user acceptance testing of Big data solution and infrastructure.
  • Assist in the development of a proactive maintenance cycle for Windows operating systems and automate preventive/routine maintenance on systems.
  • Gather and process raw data at scale.
  • Create schedules for data and control flows.
  • Analyze processed data.
  • Support business decisions with adhoc analysis as needed.
  • Monitoring data performance and modifying infrastructure as needed.
  • Provide input into documentation and updating of Standard operating procedures and process documents.
  • Provide input into definition data retention policies.
  • Design and develop data applications and reports using selected tools and frameworks as required and requested.
  • Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
  • Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.
  • Work closely with the other team members for 3rd party integration of data sources
  • Process structured and unstructured data into a form suitable for analysis.
  • Carry out other duties as instructed by Manager, ESS.

Qualifications and Experiences

  • Bachelor’s Degree or more in Computer Science or a related field.
  • 5 – 7 years of recent experience in data engineering.
  • Very strong SQL/PLQL skills and ability to manipulate data across heterogeneous data sources is required.
  • Programming experience, ideally in Python, Spark, Kafka or Java, and a willingness to learn new programming languages to meet goals and objectives.
  • Experience in C, Perl, Javascript or other programming languages is a plus.
  • A solid track record of data management showing your flawless execution and attention to detail.
  • Strong knowledge of and experience with statistics.

Experience, Skills, and Competencies:

  • Knowledge of data cleaning, wrangling, visualization, and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
  • Experience in Hive, Spark or/and MapReduce is a plus.
  • Experience with machine learning toolkits including, H2O, Spark ML or Mahout
  • A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.
  • Experience in production support and troubleshooting
  • You find satisfaction in a job well done and thrive on solving head-scratching problems.
  • Experience in advance use of Presto
  • Deep knowledge of data mining, machine learning, natural language processing, or information retrieval.
  • Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.

 

How to Apply
Interested and qualified candidates should:
Click here to apply


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