Overnight SAP BW Data Load Operations Engineer

ASM Research, An Accenture Federal Services Company; Salt Lake City (UT); On-site; USD 85,000 - 100,000; Full time

Job summary

ASM Research, An Accenture Federal Services Company, is seeking an Operations Engineer to own overnight SAP BW data loads during weekend night shifts (Thu–Mon). You will ensure seamless execution and quickly resolve errors to maintain data integrity in the data warehouse.

Responsibilities include monitoring loads, troubleshooting root causes, optimizing performance, and coordinating with cross-functional teams to restore service during off-hours.

Qualifications

• Hands-on experience with SAP BW data load monitoring and troubleshooting.
• Familiarity with data warehousing concepts, ETL processes, and performance tuning techniques.
• Exposure to SAP BW Process Chains, SAP HANA, and error-handling frameworks.
• Experience working in high-pressure, time-sensitive environments.
• Strong communication skills.

Responsibilities

• Monitor and manage overnight SAP BW data loads during Thursday–Monday night shifts.
• Promptly identify and resolve errors or disruptions in data load processing.
• Troubleshoot issues, analyze root causes, and implement solutions to prevent recurrence.
• Optimize the performance of data load processes for efficiency and reliability.
• Maintain availability and stability of the SAP BW environment, minimizing downtime and ensuring data integrity.
• Coordinate with cross-functional support teams to resolve issues and restore functionality.

Skills

SAP BW monitoring

Troubleshooting

Data warehousing

ETL concepts

Performance tuning

Strong communication

Time-management

Tools

SAP BW

SAP BW Process Chains

SAP HANA

Job description

ASM Research, An Accenture Federal Services Company, is seeking an Operations Engineer to own overnight SAP BW data loads during weekend night shifts (Thu–Mon). You will ensure seamless execution and quickly resolve errors to maintain data integrity in the data warehouse.

Responsibilities include monitoring loads, troubleshooting root causes, optimizing performance, and coordinating with cross-functional teams to restore service during off-hours.