Design, develop, and maintain data solutions using Azure Data Explorer (ADX).
Create and optimize complex Kusto Query Language (KQL) queries for data analysis and reporting.
Build data ingestion pipelines from multiple data sources into Kusto clusters.
Monitor, troubleshoot, and optimize cluster performance, query execution, and data retention policies.
Implement data modeling, aggregation, partitioning, and indexing strategies.
Develop dashboards and visualizations using Azure Monitor, Power BI, and other reporting tools.
Collaborate with data engineers, developers, and business stakeholders to gather requirements and deliver solutions.
Ensure data security, governance, and compliance standards are followed.
Support incident analysis, log analytics, and operational monitoring activities.
Automate administration and monitoring tasks using PowerShell, Python,



or Azure services.

Required Skills
Solid experience with Azure Data Explorer (ADX).
Expertise in Kusto Query Language (KQL).
Hands-on experience with Azure Monitor, Log Analytics, and Application Insights.
Knowledge of Azure services such as:
Azure Data Factory (ADF)
Azure Event Hub
Azure Storage
Azure Functions
Experience in data ingestion, transformation, and analytical workloads.
Solid understanding of performance tuning and query optimization.
Experience with PowerShell, Python, or scripting languages.
Knowledge of data warehousing and analytics concepts.
Familiarity with CI/CD pipelines and Azure DevOps.

📌 Kusto Engineer Bengaluru
🏢 Infosys
📍 Bengaluru