L2 / L3 Support Engineer

🔥 6 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Intetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.

📋 Description

• Investigate and resolve L2/L3 production incidents. • Support Power BI datasets, gateways, semantic models, and dashboard environments. • Troubleshoot ETL pipelines, data integration processes, and data quality issues. • Support GIS platforms and spatial data services. • Perform root cause analysis and implement long-term solutions. • Monitor system performance and proactively identify potential issues. • Support software releases, patches, and platform upgrades. • Maintain technical documentation, runbooks, and knowledge base articles. • Collaborate with business users and engineering teams to ensure timely issue resolution.

🎯 Requirements

• Experience providing L2/L3 production support. • Strong knowledge of Microsoft Power BI. • Experience supporting ETL or data integration platforms. • Experience performing root cause analysis and troubleshooting production environments. • Knowledge of monitoring tools and performance optimization. • Experience working within SLA-driven support processes. • Strong communication and documentation skills. • **Nice to Have:** • Experience with Microsoft Fabric. • Experience supporting ArcGIS or QGIS environments. • Experience with Azure Data Factory. • Experience supporting enterprise analytics or data platform solutions.