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We are looking for a Senior Snowflake Engineer with 7-12 years of experience in data engineering and analytics. The ideal candidate will have strong expertise in Snowflake and SQL, and will be responsible for leading the design and optimization of data solutions. This role requires collaboration with various teams and mentoring junior engineers.
Job Responsibility:
Lead design and development of Snowflake data models (staging, integration, and consumption layers)
Build and optimize complex SQL-based ELT pipelines
Drive performance tuning and cost optimization: Query optimization, Warehouse sizing and workload management, Clustering strategies
Implement data quality checks and reconciliation frameworks
Support ingestion from multiple source systems (operational, third-party, external)
Collaborate with Data Architects on solution design and standards
Mentor junior engineers and perform code reviews
Support production releases and resolve complex data issues
Actively participate in Agile ceremonies and technical discussions
Requirements:
Total Experience: 7–12+ years in data engineering / analytics roles
Relevant Snowflake Experience: 4–6+ years hands-on
Cloud Data Platform Experience: Required (Snowflake on AWS / Azure / GCP)