- 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.
- Strong 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 (Chennai)
🏢 Infosys
📍 Chennai