Data Engineer - Splunk and Azure
The role involves building and maintaining Splunk‑based monitoring, dashboards, and ETL pipelines on Azure services such as Logic Apps and Log Analytics. Collaboration with product, data, and engineering teams is required to ensure real‑time reporting, KPI analysis, and service quality compliance.
Skills required
About this role
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 in .NET, C# programming skills
Strong analytical, troubleshooting, problem-solving, and communication skills.
Understanding of ITIL processes including Incident, Problem, and Change Management.
Preferred Skills :
