Log Analytics Engineer

Dallas, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Hospitality, Gaming, EntertainmentIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Information Systems, or a related field, and have at least three years of experience in log analytics, data engineering, or a similar role. Strong SQL skills and experience with log analytics platforms such as Azure Log Analytics, Splunk, or Elastic Stack are required. Familiarity with data modeling and data warehousing concepts is also beneficial.

Responsibilities

The Log Analytics Engineer will design, deploy, and maintain metrics and advanced analytics via logging platform solutions to support observability and monitoring efforts. They will identify data sources and potential metrics, strategically develop correlations between various metrics, and organize services views to determine underlying problems. The role involves designing and implementing robust log collection pipelines, structuring and organizing log data, cleansing raw log data, crafting complex queries, building interactive dashboards, setting up automated alerts, and monitoring/optimizing pipeline performance. Furthermore, the Log Analytics Engineer will collaborate with other teams to align log analytics with broader business objectives and data strategies, ensuring data quality and providing actionable insights through analysis and troubleshooting.