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Minimum 6 10 years of work experience with at least two projects implementation leveraging Snowflake - either migration from traditional DWHs or a fresh implementation
Expert level knowledge in SQL, SnowSQL, query optimization, performance tuning etc.
Data Modelling: Knowledge of data modelling principles and techniques.
Solid work experience in AWS/ AZURE cloud platforms
Expertise in Snowflake concepts like setting up Data Masking, Tagging, SnowPipe, RBAC controls, virtual warehouse sizing, zero copy clone, data sharing, Snow pipe, Streams &Tasks;, Time travel, Secure Data sharing, DMF, iceberg tables, Energetic Tables, Micro Partition, Query Profiler etc.
Positive to have Snowflake advanced concepts on Cortex AI features, search mechanism etc.
Cloud best Practice adoption, strategy development
In depth knowledge of Snowflake Virtual Warehouse, Monitoring Warehouse, Table Structures, Views, Materialized Views, Cloning etc.
Knowledge on Integration (ETL) and Data Ingestion, Data Conversion, and Data Migration.
Technically robust in Python, PySpark
Exposure to tools like Jira, Confluence and Agile practices

📌 Senior Snowflake Data Developer Chennai (India)
🏢 E4 Software Services
📍 India