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.