Monitoring and Logging (Data Systems)
Monitoring and Logging (Data Systems) is the ability to track, analyze and record data operations within complex systems. This relates to the keen understanding of data system architecture, alongside possessing the skills to interpret, troubleshoot and react to changes or inconsistencies in data logs. This capability significantly impacts system performance, reliability and integrity, boosting data-driven decision-making and business operations.
Level 1: Emerging
At a foundational level you are able to follow established processes to monitor and log activity within data systems, identifying basic errors or irregularities as they appear. You use standard tools to review logs and escalate issues to senior team members as needed. Your approach helps keep data systems running smoothly and supports the work of the wider data engineering team.
Level 2: Proficient
At a developing level you are able to use basic monitoring and logging tools to track data flows in established systems, reporting issues or irregularities as they arise. You’re starting to interpret simple log entries and follow set procedures to escalate or resolve common problems. This helps maintain reliable system operations and supports more experienced team members.
Level 3: Advanced
At a proficient level you are able to set up, maintain and interpret monitoring and logging tools across data pipelines and platforms. You identify, investigate and resolve operational issues independently, using logs to improve system reliability and performance. Your work ensures data flows remain stable and helps the team respond quickly to incidents.
