Data Operations / Production Support Engineer

Experience Required: 5–7 Years ( NO OPT's and CPT's)

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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.

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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

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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

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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

Pay: $110,258.93 - $120,000.00 per year

Benefits:

Health insurance

Work Location: In person