Data Engineer – Kusto (KQL & SQL)

TCS•Bellevue, WA

About The Position

We are seeking a skilled Data Engineer – Kusto (KQL & SQL) to support the IDaRS Circular Center application. The ideal candidate will have strong expertise in Kusto Query Language (KQL), SQL, and data analysis, along with experience supporting enterprise applications in logistics, operations, or supply chain environments. This role combines data engineering, application support, troubleshooting, and business collaboration. The candidate will work closely with engineering teams, business users, and operations teams to maintain data quality, investigate issues, optimize Kusto queries, and support application enhancements.

Requirements

4–6 Years of experience in Data Engineering, Data Analysis, or Application Support
Strong experience with Kusto (KQL) and SQL
Kusto Query Language (KQL)
Azure Data Explorer (Kusto)
SQL
MySQL
Data Validation
Data Quality
Reporting & Analytics
Microsoft Excel (Advanced)
Power BI Dashboard Development
Root Cause Analysis
Data Investigation
Application Support
Incident Management
Bug Tracking
User Support
UAT (User Acceptance Testing)
Application Troubleshooting
Query Optimization
Complex SQL Joins
KQL Query Optimization
Performance Tuning
Large Dataset Analysis

Nice To Haves

Experience in Logistics, Supply Chain, or Operations domains is highly preferred
Logistics Domain
Supply Chain Management
Circular Center Operations
Power Automate
Microsoft Copilot
AI-assisted Analytics
Hardware Components (Network Line Cards)
Enterprise Platform Support
Strong analytical thinking
Problem-solving mindset
Attention to detail
Ownership and accountability
Excellent communication skills
Cross-functional collaboration
Curiosity and continuous learning

Responsibilities

Develop, maintain, and optimize Kusto (KQL) and SQL queries for large datasets.
Perform deep data investigations, root cause analysis, and data validation.
Build reusable query patterns and dashboards for operational reporting.
Optimize Kusto queries for performance, scalability, and memory efficiency.
Act as the functional owner for the IDaRS Circular Center application.
Support day-to-day application operations, issue resolution, and feature enhancements.
Coordinate with engineering teams to resolve defects and implement new functionality.
Manage site requests, incidents, and user support activities.
Perform User Acceptance Testing (UAT) for new features and bug fixes.
Validate business rules, data quality, and application functionality.
Provide feedback to improve application performance and usability.
Ensure data accuracy, consistency, and integrity across multiple datasets.
Analyze asset-level and part-level data using Kusto and SQL.
Create reports and dashboards using Power BI and Excel.
Support business decision-making through data-driven insights.
Work closely with Engineering, Operations, and Business teams.
Participate in bug tracking, issue management, and release activities.
Document data processes, troubleshooting steps, and best practices.