What are the responsibilities and job description for the Azure Data Explorer Engineer position at Nsight?
Job Details
We are seeking an experienced Azure Data Explorer (ADX) Engineer to join the cloud data platform team. The ideal candidate will have a deep understanding of data architecture, time-series analytics, and cloud-native solutions on Microsoft Azure. This role will focus on building scalable, high-performance data ingestion and analytics solutions using Azure Data Explorer and its surrounding ecosystem.
Key Responsibilities:
- Design, develop, and optimize data ingestion pipelines into Azure Data Explorer (Kusto) from various sources (e.g., Azure Event Hubs, IoT Hub, Kafka, etc.).
- Create and manage ADX tables, mappings, and retention policies to support large-scale time-series or telemetry data.
- Write efficient and maintainable KQL (Kusto Query Language) scripts for real-time analytics and dashboarding.
- Integrate ADX with visualization tools such as Power BI and Grafana.
- Collaborate with data architects, DevOps, and application teams to deliver cloud-native data solutions.
- Implement role-based access control (RBAC), encryption, and security best practices in Azure ADX.
- Monitor and optimize system performance, cost, and scalability of Azure-based data solutions.
- Document processes, schemas, and governance standards for analytics and reporting use cases.
Required Qualifications:
- 5 years of experience in data engineering, analytics, or related fields.
- 2 years of hands-on experience with Azure Data Explorer (ADX/Kusto).
- Proficiency in Kusto Query Language (KQL).
- Experience integrating ADX with Azure services such as Event Hubs, Data Factory, Synapse, and Logic Apps.
- Familiarity with Grafana, Power BI, or Azure Monitor for visualization and alerting.
- Strong understanding of data modeling, schema design, and performance tuning.
- Hands-on experience with Azure DevOps, CI/CD pipelines, and IaC (Terraform or ARM templates).
Preferred Qualifications:
- Microsoft Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect).
- Experience with real-time analytics, telemetry data, and large-scale log data pipelines.
- Knowledge of security, governance, and compliance frameworks in cloud data environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
