Чем предстоит заниматься
Provide day-to-day support for the Data & Analytics team, triage and resolve incidents raised by stakeholders
Diagnose and fix broken or failing dbt models, including compilation errors, test failures, schema drift, and stale dependencies
Monitor, debug, and repair Databricks workflows and jobs, including failed runs, cluster issues, and scheduling problems
Investigate data quality issues and pipeline failures to identify root cause and apply fixes
Maintain and improve dbt tests, documentation, and model configurations
Respond to ad hoc requests for data fixes, backfills, or re-runs
Collaborate with data engineers and analysts to prevent recurring issues by improving alerting, adding tests, and refactoring fragile models
Keep runbooks and support documentation up to date
Escalate complex issues appropriately while owning resolution end-to-end