Snowflake Data Engineer

Virisha LLC

United States

3 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Query Performance Amazon Web Services Amazon S3 Apache HTTP Server Computing Platforms Cloud Computing Cloud Database Cluster Analysis Databases Information Engineering Data Sharing Performance Tuning

+5 more

SQL Databases Snowflake Caching Data Lakes Data Pipelines

Job description

Design and validate Snowflake integrations with Amazon S3, Apache Iceberg, and Apache Polaris
Analyze workloads, query performance, warehouse utilization, and consumption patterns to identify optimization opportunities
Implement performance-tuning and cost-optimization strategies across databases, warehouses, pipelines, and dbt workloads
Review platform incidents and workload failures to improve reliability, resiliency, monitoring, and operational controls
Support workload benchmarking and placement assessments across Snowflake and AWS services
Establish optimization recommendations, platform guardrails, and measurable cost-efficiency improvements
Troubleshoot data pipeline issues and ensure compliance with Snowflake security and access control standards
Monitor platform health and recommend operational best practices for credit consumption and concurrency management

Requirements

8-10 years of data engineering and cloud platform experience
Expert-level proficiency with Snowflake platform architecture, SQL, and workload management
Hands-on experience with query performance tuning, virtual warehouse optimization, clustering, and caching strategies
Strong knowledge of storage optimization, credit consumption analysis, and concurrency management
Proven expertise in Snowflake security, access controls, and data sharing configurations
Solid understanding of cloud data architecture and integration patterns with AWS services
Demonstrated ability to monitor systems, troubleshoot complex issues, and implement operational improvements
Experience designing and validating integrations with Apache Iceberg, Apache Polaris, and S3-based data lakes