Data Support Specialist

Responsibilities:

• 24x7 production support for all Data Engineering Technology application jobs and processes
• Solid understanding of data pipelines, transforms, and step functions in AWS Glue
• Monitoring of all application jobs and processes in Redwood Scheduler, AWS, and Azure
• Lead a group of engineers working 24x7
• Troubleshooting and resolving all failures
• Proactively identify pipeline failures and quickly analyze the root cause
• Batch job/report performance monitoring and optimization
• Incident creation, triaging, and resolution
• Proactive communication of issues and job/process delays
• Drive P1/P2 incident calls by triaging issues and collaborating with internal and external stakeholders
• Sense of ownership and accountability for tasks
• Provide daily load status reports
• Post-patching application validation
• Manage and maintain knowledge database/repository and runbooks
• Regression testing/job execution in a non-prod environment (e.g., application upgrade testing)
• Post-incident analysis and problem ticket creation and management
• Provide evidence about production processes as required by audit
• Support disaster recovery (DR) and business continuity planning (BCP) activities
• Identify improvement areas and propose solutions

Required Technical Skillset:

• Redwood or any similar job scheduling tool

Preferred Skillset:

• AWS Glue, AWS CloudWatch, Dynamo DP, Azure DART, ETL tools, databases, ability to troubleshoot scripts