Snowflake Data Engineer - ETL

Job Summary We are seeking a highly skilled Snowflake Data Engineer to design, develop, and maintain scalable data solutions on the Snowflake platform. The ideal candidate will have strong experience in ETL/ELT development, data modeling, SQL optimization, and cloud-based data warehousing. You will work closely with business stakeholders, data analysts, and engineering teams to build robust data pipelines and ensure high-quality data delivery. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake and ETL/ELT tools. Build and optimize data warehouse solutions on Snowflake. Develop complex SQL queries, stored procedures, views, and performance tuning strategies. Design conceptual, logical, and physical data models for enterprise data warehousing. Implement data integration processes from multiple source systems. Create and maintain dimensional models (Star Schema, Snowflake Schema). Develop incremental and full-load ETL processes. Monitor and troubleshoot data pipeline failures and performance issues. Ensure data quality, governance, security, and compliance standards. Collaborate with business analysts and stakeholders to understand reporting and analytics requirements. Participate in code reviews, deployment activities, and production support. Document data flows, mappings, and technical specifications Job Summary We are seeking a highly skilled Snowflake Data Engineer to design, develop, and maintain scalable data solutions on the Snowflake platform. The ideal candidate will have strong experience in ETL/ELT development, data modeling, SQL optimization, and cloud-based data warehousing. You will work closely with business stakeholders, data analysts, and engineering teams to build robust data pipelines and ensure high-quality data delivery. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake and ETL/ELT tools. Build and optimize data warehouse solutions on Snowflake. Develop complex SQL queries, stored procedures, views, and performance tuning strategies. Design conceptual, logical, and physical data models for enterprise data warehousing. Implement data integration processes from multiple source systems. Create and maintain dimensional models (Star Schema, Snowflake Schema). Develop incremental and full-load ETL processes. Monitor and troubleshoot data pipeline failures and performance issues. Ensure data quality, governance, security, and compliance standards. Collaborate with business analysts and stakeholders to understand reporting and analytics requirements. Participate in code reviews, deployment activities, and production support. Document data flows, mappings, and technical specifications