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We are seeking an experienced KQL Developer with a strong background in data querying, preferably using KQL (Kusto Query Language) or SQL, and data visualization. The ideal candidate will bring expertise in querying large datasets and visualizing insights, ideally using tools like Grafana. Additional experience or understanding in data science and analytics is highly desirable.
Query Language Expertise: Proficiency in KQL (preferred) or strong SQL skills to handle large datasets and complex queries.
Visualization Skills: Experience with Grafana (or similar tools) to create insightful, interactive dashboards and reports.
Data Science Knowledge (Preferred): Basic knowledge in data science concepts, including predictive modeling, statistical analysis, or machine learning.
Analytical Mindset: Ability to interpret and analyze data trends, anomalies, and patterns.
Problem-Solving Skills: Strong critical thinking and troubleshooting skills for data issues.Soft Skills: Excellent written and verbal communication skills, Flexible, Self-driven, Team Player
Develop, optimize, and maintain complex queries using KQL (or SQL if KQL is not available).
Analyze and interpret data patterns to derive actionable insights.
Design and build compelling visualizations, preferably using Grafana, to communicate data insights effectively.
Collaborate with cross-functional teams to understand data requirements and build tailored analytics solutions.
Support data integration and ETL processes for analysis and reporting.
Document and ensure data quality, consistency, and reliability across data sources.
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Job ID: 107021805