ETL Production Support Engineer

ETL Production Support Engineer (IBM DataStage)

Job reference · 10608

Location · United Arab Emirates

Employment type · Full-time, on-site

Salary · AED 13,900 per month, all-inclusive, without family benefits

Employee benefits · Eligible for medical insurance, air ticket, and employment visa

About the role

We are hiring an ETL Production Support Engineer to provide L1/L2 support for enterprise data warehouse (DWH) applications and production environments. You will monitor IBM DataStage workloads, troubleshoot failed jobs, and coordinate service recovery to keep business data and reporting available on schedule. The role supports a 24/7 operation and includes on-call rotations.

Key responsibilities

• Provide L1/L2 production support and maintenance for data warehouse applications and ETL workflows.
• Monitor daily, weekly, and monthly batch jobs, dashboards, and alerts to ensure data is available on schedule.
• Investigate job failures and data issues, perform root-cause analysis, and restore services promptly.
• Support production releases, change requests, data corrections, testing, and post-release validation.
• Work with data engineers, BI reporting teams, application teams, vendors, analysts, and business users to resolve issues and prepare new workloads for production support.
• Review data processing workflows and improve monitoring and alerting to reduce recurring failures.
• Follow data management, security, audit, and privacy requirements during production support activities.

Required qualifications and experience

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• At least 3 years of hands-on experience supporting IBM InfoSphere DataStage.
• At least 2 years of IT production support experience.
• At least 2 years of experience with SQL and PL/SQL, including query optimization and troubleshooting.
• At least 2 years of experience with Unix and shell scripting.
• Strong analytical and troubleshooting skills, with the ability to work independently and coordinate with technical and business teams.
• Willingness to work a flexible schedule supporting 24/7 operations and participate in on-call rotations.

Additional technical knowledge

• Batch scheduling tools such as Control-M, incident management practices, and production monitoring.
• Data quality checks and reconciliation processes.
• Linux server maintenance and upgrades.
• Denodo and IBM InfoSphere Data Replication Management Console (CDC).

LinkedIn skills

IBM DataStage / Extract, Transform, Load (ETL) / Production Support / Data Warehousing / SQL / PL/SQL / Unix / Shell Scripting / Control-M / Incident Management