Grafana Engineer - Data Visualization

Job Title : Grafana Engineer.

Location : Hyderabad.

Experience : 4-8 Years.

Key Responsibilities :

- Design and develop Grafana dashboards to visualize and monitor key metrics across various systems.

- Integrate Grafana with different data sources (Prometheus, Elasticsearch, InfluxDB, MySQL, etc.) to create meaningful visualizations.

- Troubleshoot issues related to Grafana dashboards, data sources, and alerting configurations.

- Collaborate with teams to define metrics and improve data collection strategies.

- Customize Grafana panels, plugins, and templates as per requirements.

- Implement monitoring and alerting mechanisms using Grafana to track system performance and identify anomalies.

- Maintain Grafana configurations and provide support for ongoing development and troubleshooting.

- Continuously optimize Grafana dashboards for performance and ease of use.

- Document best practices and processes related to Grafana dashboard development.

Required Skills And Qualifications :

- 4-8 years of experience working with Grafana for dashboard development and data visualization.

- Strong understanding of time-series databases like Prometheus, InfluxDB, or similar.

- Experience integrating Grafana with various data sources such as MySQL, PostgreSQL, Elasticsearch, etc.

- Proficiency in writing SQL queries for extracting and visualizing data.

- Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.

- Knowledge of configuring and customizing Grafana dashboards, panels, and alerts.

- Familiarity with scripting languages (Python, Bash, or similar) for automating tasks and integrations.

- Basic understanding of DevOps practices and infrastructure monitoring.

- Strong troubleshooting skills and the ability to analyze and resolve issues in Grafana implementations.

- Good communication skills and the ability to work collaboratively in a team.

Preferred Qualifications :

- Experience working with cloud platforms like AWS, Azure, or GCP.

- Experience with containerization tools such as Docker and Kubernetes.

- Familiarity with version control systems like Git.

- Knowledge of IT infrastructure, cloud-native architectures, and distributed systems.