Log Analytics Engineer
| Company | Las Vegas Sands Corp |
|---|---|
| Location | Dallas, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- At least 21 years of age.
- Proof of authorization to work in the United States.
- Bachelor’s degree or equivalent in relevant discipline.
- Must be able to obtain and maintain any certification or license, as required by law or policy.
- 3-5 years of relevant experience.
- Proficiency in scripting languages like PowerShell, Python, and Bash.
- Proficiency in query languages such as SQL and KQL for data manipulation and analysis.
- Demonstrated experience in using popular log analytics tools such as Azure Log Analytics, Elasticsearch, Splunk, Logstash, or AWS CloudWatch Logs.
- Understanding of data pipelines, data ingestion techniques, and data quality best practices.
- Familiarity with system administration concepts to effectively manage log collection agents and infrastructure.
- Understanding of how syslog or Windows Event Logs flow via Azure Monitor Agent, or other agents, to a Log Analytics workspace.
- Understanding of Azure Data Collection Rules.
- Proficiency in analyzing complex log data, identifying root causes of issues, and troubleshooting system problems.
- Strong communicator who can effectively explain technical findings and insights to non-technical stakeholders.
- Must have strong organizational skills, customer service focus, attention to detail, and process orientation.
- Demonstrated experience breaking down complex systems and effectively troubleshooting and resolving technical issues.
- Strong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.
- Must be able to work varied shifts, including nights, weekends and holidays, to ensure 24/7 coverage.
Responsibilities
- Responsible for the design, build, and maintenance of monitoring and alerting strategies.
- Identification of data sources and potential metrics available across the Enterprise estate.
- Strategically develop correlations between various metrics and organize services views to determine underlying problems or concerns for monitoring, trending and alerting.
- Design and implement robust log collection pipelines, including agent configuration, data ingestion, and normalization to ensure accurate data capture from various system sources.
- Structure and organize log data into meaningful data models within a log analytics platform, creating optimized data structures for efficient querying and analysis.
- Cleanse raw log data by identifying and handling inconsistencies, errors, and missing information to ensure data quality.
- Craft complex SQL or platform-specific queries to extract actionable insights from log data, enabling effective analysis and troubleshooting.
- Build interactive dashboards and visualizations to present key performance metrics and trends derived from log analysis, providing accessible insights to stakeholders.
- Set up automated alerts based on predefined thresholds or anomaly detection to proactively identify potential issues and trigger investigations.
- Monitor and optimize the performance of log analytics pipelines to ensure efficient data processing and query response times.
- Work with other teams (data engineers, data analysts, Azure admins, Enterprise Architects) to align log analytics with broader business objectives and data strategies.
Preferred Qualifications
- Azure Administrator Associate certification highly desired, additional technical certifications preferred.