Snowflake DBT

We are seeking a skilled Data Engineer with strong handson experience in Snowflake as the primary data platform and working knowledge of DBT for data modeling and transformation The ideal candidate will design build and optimize scalable data pipelines that support analytics reporting and datadriven decisionmaking across the organization
Key Responsibilities Design build and maintain ETLELT pipelines using Snowflake and DBT Develop and optimize Snowflake data models including warehouse database schema structures tables and views Build DBT models using best practices for modularity testing and documentation Implement data ingestion from multiple sources using tools such as Airflow Snowpipe Fivetran or equivalent Optimize Snowflake performance clustering query optimization warehouse sizing caching Ensure data quality through unit tests data validation and DBT tests Collaborate with analytics BI and product teams to understand business data needs Implement best practices for CICD version control Git and automated deployments for DBT and Snowflake workflows Monitor and troubleshoot pipeline issues ensuring high data availability and reliability Maintain documentation for data models pipelines and system configurations Required Skills Qualifications 47 years of experience in Data Engineering or similar role Strong handson expertise with Snowflake warehousing databases performance tuning security Snowpipe tasks streams Proficient in DBT CoreCloud for modeling transformations tests and documentation Strong SQL skills analytical SQL performance tuning complex queries Experience with ETLELT orchestration tools Airflow preferred Good understanding of data modeling concepts StarSnowflake schemas normalization Experience with cloud platforms AWSGCPAzure and related services Familiarity with Git CICD pipelines and codefirst data engineering Understanding of REST APIs and integration patterns Strong problemsolving and analytical skills.