Specialist, Enterprise Support Services (Big Data) at 9Mobile

Job: IRC4396

Job Summary

• Lead the design, implementation, and maintenance of Big data infrastructure and tools, including collecting, storing, processing, 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.
• 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, 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.
• 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.
• Work closely with our business users to build sophisticated multi-channel campaigns.
• 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, Enterprise Support Services.

Educational Requirements

• Bachelor's Degree or more in Computer Science or a related field.
• 3 - 5 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.
• 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.