Data Operations / Production Support Engineer

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