Vacancy Information
| Reference ID | 200604 | ||
|---|---|---|---|
| Job title | Data Process Engineer | Number Required | 1 |
| Firm | Plan.com | Hours | Full Time (40hrs/wk) |
| Address | Duration | Permanent | |
| Contact | Salary | ||
| Tel No | End Date | 31 May 2024 | |
| Number Required | 1 | ||
| Hours | Full Time (40hrs/wk) | ||
| Duration | Permanent | ||
| Salary | |||
| End Date | 31 May 2024 | ||
| Notes | JOB PURPOSE: We are seeking a highly skilled Data Process Engineer with hands-on experience in developing complex data intensive processes and solutions. The successful candidate will bring a solid and diverse skillset in data frameworks and applications, including R, Python, SQL, etc. The ideal candidate will be responsible for the development and maintenance of automated processes based on telecommunication performance data (CDRs, usage, event listeners, etc.). These processes will focus on the rating of usage, management of spend caps, developing business logic in the orchestration layer, govern automated messaging to customers, and much more. All these processes will focus on enhancing operational efficiency on an ongoing basis, while at the same time ensure revenue recognition is optimal at all times. As a Data Process Engineer, you will collaborate with cross-functional teams and support these teams as and when required to scope, develop, and deliver production processes / systems. MAIN DUTIES AND RESPONSIBILITIES: Analyse large-scale telecommunications datasets, including (but not limited to) network traffic data, call detail records (CDRs), billing and usage, etc., to identify trends, patterns, and areas for improvement. Develop and maintain on an ongoing basis, complex production grade data processes (i.e., usage rating, event listeners engine, CDR injections, etc.) developed in R, which in turn underpins the accuracy of companywide operations as it relates to data integrity, customer engagement and optimal revenue recognition. Develop data structures necessary to support analysis and drive business processes by combining diverse data sources, including geolocation data, usage, etc., which are distributed across multiple databases and unstructured data sources. Collaborate with internal (SysOps, Tech, Finance, etc.) as well as external (network operators, hosted system owners, etc.) stakeholders as part of dedicated delivery teams as and when required to define business requirements, develop analytical solutions, and implement process improvements. As part of the team which acts as the business owner of the rulesets housed in the respective orchestration layers, monitor and maintain the underlying logic to ensure all rulesets are accurately applied on an ongoing basis. Develop and implement statistical models, machine learning algorithms, and data visualization techniques to extract actionable insights and drive data-driven decision-making. Design and execute experiments to evaluate the effectiveness of process improvements and validate the impact on network performance and customer satisfaction. Apply directly https://plan.com/vacancy?ref=data-process-engineer | ||
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