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Specialist, Enterprise Support Services (Big Data) at 9mobile Nigeria

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Specialist, Enterprise Support Services (Big Data) at 9mobile Nigeria

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 to 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 (Big Data)

Job ID: IRC4301
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.
  • 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.
  • Partner with business leaders, IT service operations team and other relevant stakeholders to identify Big data solutions and infrastructure in line with business requirements
  • Responsible for planning of Big data solutions and infrastructure upgrades and deployment.

Operational:

  • Provide technical and operational support in the management of Big data solutions and infrastructure in a highly dynamic business environment and support business
  • Provide support in the implementation and user acceptance testing of Big data solutions 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
  • 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, writing 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.
  • Analyze processed data.
  • Support business decisions with ad hoc 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.
  • Carry out other duties as instructed by Manager, ESS.

Educational Requirements

  • 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 the ability to manipulate data across heterogeneous data sources is required
  • A solid track record of data management shows your flawless execution and attention to detail.
  • Strong knowledge of and experience with statistics.
  • 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.
  • 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
  • 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.
  • Experience with machine learning toolkits including, H2O, SparkML 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.

Application Closing Date
Not Specified.

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

OTHER VACANCIES

Justin Okere
Justin Okere
Dr. Justin Kelechi Okere has a Ph.D (Distinction) in Natural Resources and Environmental Management (Impact Assessment and Remediation) from the University of Port Harcourt, Nigeria; Certified by Ivy universities including Harvard, Stanford and MIT. He is also certified by NEBOSH, UK. Dr Okere is an Environmental Consultant and presently the Head, Department of Chemical Sciences, Hezekiah University, Imo State and Adjunct Lecturer at University of Port Harcourt. Due to the high unemployment rate and degradation of the environment, he has decided to use this Globupdate platform to enhance humanity as regards the mentioned issues and more.

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