Job Description

We are looking for a Snowflake Data Engineer 58 years of experience to design, optimize, and scale modern data solutions on the Snowflake Data Cloud. You will build high-performance pipelines, lead legacy-to-cloud migrations, and implement cost-efficient warehousing strategies. Key Responsibilities ETLELT Pipelines: Build and automate robust data integration pipelines using Python, SQL, Snowpipe, and tools like dbt. Performance Costs: Optimize query execution, manage warehouse sizing, and implement resource monitors to control Snowflake spend. Data Modeling Migrations: Design dimensional data models star schema and lead legacy-to-Snowflake database migrations. Security Governance: Set up secure Role-Based Access Controls RBAC, data masking, and row-level security policies. Tech Stack: Expert SQL, strong Python, and proficiency in AWS, Azure, or GCP. Modern Data Stack: Practical experience with dbt, Airflow, or Git-based CICD pipelines. Bonus: SnowPro Core or Advanced Certification is highly preferred.