Description

You will design, build, and optimize data solutions within Snowflake.

Responsibilities

• Design and implement scalable data models (e.g., Data Vault, Dimensional Modeling) in Snowflake, structuring data for AI/ML consumption.
• Develop high-performance ELT pipelines using Snowpipe, Tasks, Streams, and Dynamic Tables to aggregate data from various sources.
• Optimize Snowflake queries, clustering keys, and warehouse sizing for low-latency data retrieval.
• Expose data to AI/ML Agent Developers via optimized views, UDFs, and Stored Procedures callable by Snowpark or Cortex Analyst tools.
• Ensure data quality, lineage, and policy adherence using Row Access Policies and Data Masking within Snowflake.

Required Skills

• Expert proficiency in Snowflake architecture, optimization, and advanced features (Streams, Dynamic Tables, Time Travel).
• Deep expertise in SQL and data modeling for high-volume, complex datasets.
• Strong hands-on experience with Python and Snowpark for custom data transformation logic.
• Proven ability in data cleansing, feature engineering, and dimensional reduction.
• Experience structuring data specifically for AI/ML consumption.
• Working experience of 5+ years.

Key Skills

Education

Any Gradute