Job Description: Oversee data engineering solutions at an organizational level. Lead high\-impact data initiatives. Ensure alignment of data practices with organizational goals. Provide executive\-level strategic guidance.
Responsibilities: Oversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.
*Responsibilities:**
The Practitioner should be **STRONG IN**
Managing Customer engagement, Liaise with Clients Engagement managers oversee the customer service operations within a business, dealing with customers directly and often as their first point of contact.
Application supports:
On\-call rotation
Receiving and acknowledging tickets
Incident triaging and priority assessment
Assignment of incidents
Incident resolution
Application monitoring and preventive maintenance
Weekly status and SLA reporting
Incident and Problem management:
Analyse, troubleshoot and work with team to resolve complex production application defects
Identify root cause and devise and implement permanent solutions to recurring defects
Build and maintain application monitoring, optimisation and utilisation
Devise or modify programs to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results.
Lead the support team to achieve compliance with SLAs, work within commercial and resource constraints; prioritisation, resourcing, scheduling and QA across all activities.
Communicate with stakeholders in case of delays or SLA breaches.
Maintain and own defect management and incident resolution process.
Follow up with third party vendors for issue resolution and prevention, if required.
Perform weekly incident/bug review meetings with application team.
Perform custom, ad\-hoc data analysis and reporting based on stakeholder requests within SLA.
Support weekly and monthly customer report processing.
Conduct regular presentations to team/stakeholders.
Good experience of working in Agile methodologies
Qualifications: Graduate in Computer Science, Data Science, or related field. 6\-8 years of experience in data engineering or related field.
*Responsibilities:**
The Practitioner should be **STRONG IN**
Managing Customer engagement, Liaise with Clients Engagement managers oversee the customer service operations within a business, dealing with customers directly and often as their first point of contact.
Application supports:
On\-call rotation
Receiving and acknowledging tickets
Incident triaging and priority assessment
Assignment of incidents
Incident resolution
Application monitoring and preventive maintenance
Weekly status and SLA reporting
Incident and Problem management:
Analyse, troubleshoot and work with team to resolve complex production application defects
Identify root cause and devise and implement permanent solutions to recurring defects
Build and maintain application monitoring, optimisation and utilisation
Devise or modify programs to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results.
Lead the support team to achieve compliance with SLAs, work within commercial and resource constraints; prioritisation, resourcing, scheduling and QA across all activities.
Communicate with stakeholders in case of delays or SLA breaches.
Maintain and own defect management and incident resolution process.
Follow up with third party vendors for issue resolution and prevention, if required.
Perform weekly incident/bug review meetings with application team.
Perform custom, ad\-hoc data analysis and reporting based on stakeholder requests within SLA.
Support weekly and monthly customer report processing.
Conduct regular presentations to team/stakeholders.