Senior BI Engineer_ Remote/Contract

BI Engineer - Senior Contract - Remote/ 6 months+ Education: Bachelor//'s degree in Computer Science, Information Technology, or Information Systems Experience : Minimum 6+ years as a BI Engineer Job Descriptions Looker Semantic Modeling & Metrics Layer * Design and maintain LookML models (views, explores, derived tables) * Define consistent business metrics, dimensions, and calculations * Implement reusable measures, joins, and aggregate awareness * Optimize semantic models for performance and usability * Align semantic definitions with data engineering and business stakeholders * Governed LookML models Certified explores Standardized metrics Metric definitions doc Semantic layer performance artifacts Dashboard & Report Development * Design and develop interactive Looker dashboards and reports * Translate business requirements into clear, actionable visualizations * Apply visualization best practices for usability and storytelling * Implement dashboard filters, drill-downs, and user-level access * Maintain and enhance existing dashboards based on feedback * Production-ready dashboards Dashboard design standards Dashboard templates Self-Service BI Enablement * Enable business users to explore data using certified Looker explores * Design user-friendly semantic models to reduce ad-hoc SQL dependency * Provide training, demos, and best-practice guidance to users * Define data governance guardrails for self-service analytics * Self-service Looker explores User enablement materials Adoption metrics & usage insights In-DB Semantic Layer & SQL Development * Write and optimize complex SQL queries for analytics use cases * Validate data accuracy, aggregations, and business logic * Partner with Data Engineers to optimize tables, partitions, and models * Troubleshoot data discrepancies and performance issues * Optimized SQL logic Query validation results Reconciliation reports Operations, Monitoring & Continuous Improvement * Monitor dashboard performance, usage, and failures * Maintain Looker content lifecycle (dev prod) * Implement access controls and content organization * Continuously improve models and dashboards based on usage analytics * Stable Looker environment Usage & adoption reports Required Skills Strong experience with Looker and LookML development Expertise in semantic modeling and metrics layer design Hands-on experience in dashboard and report development Strong SQL development and query optimization skills Experience with data modeling, analytics, and reporting solutions Understanding of BI governance and self-service analytics Strong troubleshooting and performance optimization skills Experience working with cross-functional stakeholders and business teams Excellent analytical, communication, and problem-solving skills BI Engineer - Senior Contract - Remote/ 6 months+ Education: Bachelor//'s degree in Computer Science, Information Technology, or Information Systems Experience : Minimum 6+ years as a BI Engineer Job Descriptions Looker Semantic Modeling & Metrics Layer * Design and maintain LookML models (views, explores, derived tables) * Define consistent business metrics, dimensions, and calculations * Implement reusable measures, joins, and aggregate awareness * Optimize semantic models for performance and usability * Align semantic definitions with data engineering and business stakeholders * Governed LookML models Certified explores Standardized metrics Metric definitions doc Semantic layer performance artifacts Dashboard & Report Development * Design and develop interactive Looker dashboards and reports * Translate business requirements into clear, actionable visualizations * Apply visualization best practices for usability and storytelling * Implement dashboard filters, drill-downs, and user-level access * Maintain and enhance existing dashboards based on feedback * Production-ready dashboards Dashboard design standards Dashboard templates Self-Service BI Enablement * Enable business users to explore data using certified Looker explores * Design user-friendly semantic models to reduce ad-hoc SQL dependency * Provide training, demos, and best-practice guidance to users * Define data governance guardrails for self-service analytics * Self-service Looker explores User enablement materials Adoption metrics & usage insights In-DB Semantic Layer & SQL Development * Write and optimize complex SQL queries for analytics use cases * Validate data accuracy, aggregations, and business logic * Partner with Data Engineers to optimize tables, partitions, and models * Troubleshoot data discrepancies and performance issues * Optimized SQL logic Query validation results Reconciliation reports Operations, Monitoring & Continuous Improvement * Monitor dashboard performance, usage, and failures * Maintain Looker content lifecycle (dev prod) * Implement acces