Description

•           Perform root cause analysis for job failures and data analysis & fixes 
•           Perform Month End Closing Activities
Snowflake Development & Architecture
•           Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes
•           Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
•           Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
•           Oversee promotion of code across environments using CI/CD practices 


Core Technical Skills
•           Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
•           Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
•           Python: Data processing, automation, Snowpark (preferred)
•           Strong understanding of cloud data platform architecture (AWS preferred)
AI / Analytics Skills
•           Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
•           Experience supporting ML models through data engineering and operationalization
•           Familiarity with Python ML libraries (scikit learn, pandas, NumPy) – applied from a data engineering perspective
•           Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
Domain & Soft Skills
•           Insurance domain experience (P&C / Specialty Insurance strongly preferred)
•           Strong communication skills for onsite customer interaction
•           Ability to translate business requirements into scalable data & AI solutions
 

Key Skills

Education

Bachelor's degree