Data Operations / Production Support Engineer

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Role Overview

We are seeking a skilled Data Operations / Production Support Engineer with strong experience in job scheduling, ETL processes, and AWS-based data environments. The ideal candidate will be responsible for monitoring, troubleshooting, and optimizing production data pipelines while ensuring high system reliability and performance.

Technical Skills Required

• Job Scheduling & Workflow Monitoring: Hands-on experience with enterprise schedulers such as Control-M, Tidal, or equivalent tools
• ETL Knowledge: Strong understanding of ETL processes, data workflows, and pipeline architectures
• SQL: Proficiency in writing complex queries, debugging, and performance tuning
• Shell Scripting (Bash): Experience in writing automation scripts for operational efficiency
• Linux: Solid understanding of Linux commands, file systems, and permissions
• AWS Services: Working knowledge of AWS components including S3, EMR, and EC2
  
  

Key Responsibilities

• Monitor and support production data pipelines to ensure smooth and uninterrupted operations
• Troubleshoot job failures and perform detailed root cause analysis (RCA)
• Manage and optimize long-running jobs to improve performance and efficiency
• Configure and manage job scheduling workflows and dependencies using Control-M or similar schedulers
• Provide support for AWS-based data infrastructure and associated services
• Collaborate with cross-functional teams to resolve incidents and ensure timely issue resolution
  
  

Additional Notes

• Strong problem-solving and analytical skills are essential
• Ability to work in a fast-paced production support environment
• Effective communication and coordination skills required for stakeholder interaction