Role : Network Data Engineer
Location : Toronto, Ontario
JOB DESCRIPTION
SQL Data Engineering :
- Develop and maintain complex SQL queries for extracting, transforming, and loading (ETL) RAN data from various sources.
- Optimize SQL queries for performance and scalability in large datasets related to RAN data.
- Ensure data quality, accuracy, and integrity through proper validation and testing of SQL queries.
- Create and manage data pipelines to automate data ingestion and processing.
Dashboard and Reporting :
Develop interactive and visually appealing dashboards using BI tools (e.g., Tableau, Power BI, Qlik) to present RAN data insights.Design and implement Key Performance Indicators (KPIs) and other relevant metrics for RAN performance tracking.Create automated and dynamic reports that provide real-time data updates and insights on RAN network performance.Develop custom reports that allow stakeholders to track key metrics, trends, and performance against predefined benchmarks.SQL Data Engineering :
Develop and maintain complex SQL queries for extracting, transforming, and loading (ETL) RAN data from various sources.Optimize SQL queries for performance and scalability in large datasets related to RAN data.Ensure data quality, accuracy, and integrity through proper validation and testing of SQL queries.Create and manage data pipelines to automate data ingestion and processing.Dashboard and Reporting :
Develop interactive and visually appealing dashboards using BI tools (e.g., Tableau, Power BI, Qlik) to present RAN data insights.Design and implement Key Performance Indicators (KPIs) and other relevant metrics for RAN performance tracking.Create automated and dynamic reports that provide real-time data updates and insights on RAN network performance.Develop custom reports that allow stakeholders to track key metrics, trends, and performance against predefined benchmarks.?SQL Data Engineering mainly for RAN Data
Expertise in Dashboard and Reporting for RAN DataExperience in Data Analysis and Visualization for RAN DataExperience in Performance MonitoringL!-CEIPAL"