Specialist, Enterprise Support Services 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 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.
• 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.
• 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.

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.
• 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.
• 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.
• 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.
• A solid track record of data management showing 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.

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 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.
• 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.

Application Closing Date
Not Specified.