Field Engineer

• Monitor scheduled and event-driven ETL/ELT pipelines across Azure Data Factory, Databricks, Airflow, and related platforms
• Investigate failed jobs, delayed data, missing records, schema changes, and dependency issues
• Rerun or recover pipelines using approved operational procedures and confirm successful completion
• Support production releases, cutovers, and post-deployment monitoring
• Respond to data-service incidents and operational requests within agreed service levels
• Perform root-cause analysis and document issues, impacts, resolutions, and preventive actions
• Create, update, and follow operational tickets through closure
• Coordinate with source-system owners, data engineers, infrastructure teams, and report owners
• Validate data completeness, accuracy, freshness, and reconciliation results
• Maintain monitoring, alerting, and operational checks for critical pipelines and datasets
• Identify recurring failure patterns and recommend permanent fixes or automation
• Escalate material data risks with clear impact and status communication
• Support users of reports, dashboards, and downstream data products
• Provide updates on incidents, blockers, ownership, and next actions
• Participate in daily operational reviews and handovers
• Maintain runbooks, troubleshooting guides, support knowledge, and service documentation
• Automate repetitive operational tasks and recovery steps
• Contribute to observability, cost, performance, and reliability improvements
• Support standardization of deployment, support, and data-quality practices
• Share lessons learned and improve team operational readiness

Field Engineer jobs in Thailand

Data Service Engineer