IT Engineer (Data Services)

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Responsibilities, but not limited to

• Install, upgrade database systems, apply patches and implement changes when required.
• Diagnose and resolve database errors ensuring high availability of database systems.
• Manage databases access, backups and ensure compliance with database and security standards.
• Perform changes to critical databases related to manufacturing and engineering.
• Support incident, request, change, and problem management tasks associated with database operations.
• Ensure SLA for incidents and service requests are met with high quality of work.
• Ensure critical metrics, such as breach case target, MTTR and first level resolution target are met.
• Provide oncall support, including outside of office hours.
• Perform business continuity planning and capacity forecast for database systems
• Plan, execute, and validate disaster recovery exercises, failover testing, and recovery procedures to ensure business continuity readiness.
• Collaborate with site customers on new database requirements, problem resolution and data flow requests.
• Performance tuning of databases to ensure high performance and availability.
• Monitor database performance proactively and perform analysis of cases to prevent recurring issues.
• Review and enhance database monitoring when required.
• Develop processes and operation procedures related to database operations.
• Create and manage database reports, visualizations, and dashboards.
• Engineer solutions and automations to improve productivity and efficiency of database operations and reliability and availability of the database systems.
• Identify recurring operational challenges, perform trend analysis, and implement preventive measures to improve service reliability and reduce incidents.
• Recommend and implement emerging database technologies.
• Participate in worldwide collaboration for technical sharing and reference architecture alignment.
• Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work