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.

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 :