Grafana

We are seeking a skilled Database Specialist with strong expertise in Time-Series Databases, specifically Loki for logs, InfluxDB, and Splunk for metrics. The ideal candidate will have a solid background in query languages, Grafana, Alert Manager, and Prometheus. This role involves managing and optimizing time-series databases, ensuring efficient data storage, retrieval, and visualization.

Key Responsibilities:

• Design, implement, and maintain time-series databases using Loki, InfluxDB, and Splunk to store and manage high-velocity time-series data.
• Develop efficient data ingestion pipelines for time-series data from various sources (e.g., IoT devices, application logs, metrics).
• Optimize database performance for high write and read throughput, ensuring low latency and high availability.
• Implement and manage retention policies, downsampling, and data compression strategies to optimize storage and query performance.
• Collaborate with DevOps and infrastructure teams to deploy and scale time-series databases in cloud or on-premise environments.
• Build and maintain dashboards and visualization tools (e.g., Grafana) for monitoring and analyzing time-series data.
• Troubleshoot and resolve issues related to data ingestion, storage, and query performance.
• Work with development teams to integrate time-series databases into applications and services.
• Ensure data security, backup, and disaster recovery mechanisms are in place for time-series databases.
• Stay updated with the latest advancements in time-series database technologies and recommend improvements to existing systems.

Key Skills:

• Strong expertise in Time-Series Databases with Loki (for logs), InfluxDB, and Splunk (for metrics).