Description

You will own the stability and performance of Supply Chain Management systems, focusing on batch operations, database analysis, and incident resolution.

This role is on-site.

Responsibilities

• Monitor and manage daily and overnight batch jobs using Unix shell and SQL/PLSQL, validating pre- and post-conditions.
• Conduct root-cause analysis for job failures by reviewing Unix logs, runbooks, and database logs to drive corrective actions.
• Analyze PL/SQL packages and long-running queries to identify defects or performance bottlenecks and coordinate with DBAs on remediation.
• Validate Manhattan UI configuration changes in lower environments and collaborate with the product team on outlier behaviors.
• Maintain accurate runbooks and knowledge base articles in ServiceNow while publishing daily status updates.

Required Skills

• Strong proficiency in Oracle SQL and PL/SQL for query writing, debugging, and package analysis.
• Expertise in Unix/Linux shell scripting, log parsing (grep/awk/sed), and job orchestration.
• Demonstrated ability to diagnose production incidents, trace data across tables, and produce actionable RCAs.
• Experience with performance tuning basics, including interpreting execution plans and understanding indexing/statistics.
• 10+ years of overall experience with substantial time in PL/SQL, Unix batch operations, and production support.
• Working knowledge of Supply Chain processes, including inventory planning or demand forecasting.
• Experience with incident/change management processes and structured stakeholder communication.

Preferred Skills

• Experience supporting Manhattan DFIO applications, including after-hours incident support.
• Familiarity with cloud data warehouses such as Snowflake or BigQuery for downstream analytics.

Key Skills

Education

Bachelor's degree