Data Engineer Splunk and Azure

Roles & Responsibilities :
UC Data Analytics Engineer is responsible for developing and supporting Splunk and Azure based analytical report.

Key Responsibilities

Develop and maintain Splunk-based monitoring data pipelines dashboards and service-quality analytics.

Build and optimize ETL/data pipelines using Splunk and Azure services such as Logic Apps and Log Analytics.

Develop and maintain required Function App services in Azure

Integrate and automate data collection from multiple sources for real-time monitoring reporting and KPI analysis.

Proactively identify service issues trends and anomalies and drive preventive and corrective actions.

Collaborate with Product Managers Data Analysts Business Analysts and engineering teams to improve monitoring reporting and service quality.

Maintain SOPs technical documentation and knowledge articles while ensuring security and compliance.

Drive operational efficiency automation and continuous improvement initiatives.
 

Qualifications :

Educational qualification:

BE/BTech in Computer Science IT or related discipline.

Experience :

5 years of experience in Teams/UC operations and enterprise support with hands-on Splunk experience.

Mandatory/requires Skills :
Hands-on expertise in Splunk including data ingestion queries dashboards and monitoring.
Experience in Azure Logic Apps Azure Log Analytics

Experience C# programming skills
Strong analytical troubleshooting problem-solving and communication skills.
Understanding of ITIL processes including Incident Problem and Change Management.

Preferred Skills :

Remote Work :

No

Employment Type :

Full-time