Production Support Engineer

Job Title: Data Operations / Production Support Engineer

Experience

Required:

5–7 Years

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.

• Hands‑on experience with enterprise schedulers such as Control‑M, Tidal, or equivalent tools.

• Strong understanding of ETL processes, data workflows, and pipeline architectures.

• Proficiency in writing complex queries, debugging, and performance tuning.

• Experience in writing automation scripts for operational efficiency.
• Solid understanding of Linux commands, file systems, and permissions.

• Working knowledge of AWS components including S3, EMR, and EC2.

• 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.
• Participate in an on‑call rotation and provide after‑hours support for production incidents as required.
• Support a 24x7 production environment and respond to critical production issues within established SLA timelines.

• 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.
• Hybrid work arrangement with regular onsite attendance in Mountain View, CA or San Diego, CA.