Job Description

8–10 years of experience in Data Engineering, Data Warehousing, or Business Intelligence. Strong hands-on experience with Snowflake Data Cloud and Snowflake architecture. Expertise in DBT (Data Build Tool) for data transformation and ELT development. Strong experience in Power BI, including dashboard creation, report development, and visualization best practices. Advanced proficiency in SQL and query optimization. Experience designing and implementing enterprise-scale Data Warehousing solutions. Strong understanding of Data Modeling, including dimensional models and star schemas.

Design, develop, and maintain scalable Snowflake Data Warehouse solutions. Build and optimize DBT-based ELT pipelines and data transformation frameworks. Develop enterprise-grade data models using Snowflake and modern Data Warehousing principles. Create interactive Power BI dashboards, reports, and data visualization solutions. Collaborate with business stakeholders to translate reporting and analytics requirements into technical solutions. Implement data quality, validation, and governance processes across the analytics ecosystem. Optimize Snowflake performance, storage, and query execution for large-scale datasets. Develop reusable DBT models, macros, tests, and documentation.