Data Engineer Kusto

We are looking for a Data Engineer with strong Kusto expertise to support the Circular Center / IDaRS application.

This role operates in a small, high-impact team with broad responsibilities, requiring a mix of data work, application support, and close collaboration with engineering and operations teams. Proven experience preferably in logistics; operations; or supply chain environments

Key Responsibilities

Own and work hands-on with the IDaRS / Circular Center application (as user + functional owner)

Partner with engineering to support feature roadmap, development, and bug tracking/resolution

Handle site requests, incidents, and troubleshooting end-to-end

Configure and support business rules / demand data, ensuring data quality and upkeep

Perform UAT/testing and provide feedback to improve the application

Use Kusto (KQL), SQL, Excel to analyze large datasets, run investigations, and resolve issues

Apply a data-driven, analytical mindset (deep dives, hypothesis testing, root cause analysis)

Demonstrate curiosity, ownership, and a solution-oriented approach (proactively find and fix issues)

Key Skills

Strong data skills + experience with Kusto (KQL), SQL and Excel.

Experience working with applications in a live environment (support + enhancement)

Familiarity With

• Bug tracking / issue management
• Incident handling / user support
• Testing / UAT participation

Ability to operate across data, application usage, and coordination with engineering

Kusto-Specific Expectations

Perform deep investigations across large datasets

Work with asset-level / part-level data and integrate across datasets

Handle complex joins (e.g., 20+ property groups)

Optimize queries for performance and memory usage

Build repeatable queries / patterns for dashboards and troubleshooting

Comfortable navigating large and complex data environments where Kusto is the primary data source

Nice To Have

Exposure to: AI / Copilot-based solutions, Power Automate (especially as you grow into SME ownership)

Understanding of hardware components (e.g., network line cards)

Experience working with large-scale internal platforms or tools