Snowflake Data/Analytics Engineer

Key Skills : Snowflake , DBT and Power BI Role Summary We are seeking a hands-on, end-to-end Senior Analytics Engineer with deep data engineering experience. In this role, you will own the entire data lifecycle, seamlessly balancing new project development with production support. The ideal candidate thrives on transforming raw data into reliable, production-grade assets and building the semantic layers that power enterprise analytics. Key Responsibilities • Data Transformation: Build and modify dbt models using Bronze-Silver-Gold architecture. • Semantic Layer: Create and modify semantic models in Power BI and write complex DAX measures. • Visualization: Design and enhance executive-ready Power BI dashboards. • Operations & Support: Manage end-to-end project delivery from source ingestion to final reporting. • Troubleshooting: Root-cause and fix production and data quality issues across Snowflake, dbt, and Power BI. Qualifications & Skills • Snowflake Data Engineering: Deep, hands-on data engineering experience designing pipelines, optimizing performance, and managing storage/compute within Snowflake. • dbt Mastery: Proven expertise building and managing modular dbt models in production. • Power BI Stack: Advanced proficiency in Power BI dashboards, semantic modeling, and DAX. • Versatility: Proven ability to balance structured new projects with fast-paced production support