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-productive warehousing strategies.
Responsibilities
- Build and automate robust data integration pipelines using Python, SQL, Snowpipe, and tools like dbt.
- Optimize query execution, manage warehouse sizing, and implement resource monitors to control Snowflake spend.
- Design dimensional data models star schema and lead legacy-to-Snowflake database migrations.
- Set up secure Role-Based Access Controls RBAC, data masking, and row-level security policies.
- Expert SQL, strong Python, and proficiency in AWS, Azure, or GCP.
- Practical experience with dbt, Airflow, or Git-based CICD pipelines.
- SnowPro Core or Advanced Certification is highly preferred.
Key Skills
- Snowflake
- SQL
- Python
- Snowpipe
- dbt
- Airflow
- Git-based CICD pipelines
- Cloud platforms (AWS/Azure/GCP)
- Dimensional data models star schema
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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