Description

You will design and optimize AI-driven data solutions using Snowflake, Snowpark, and Cortex for banking domains. This role is on-site.

Responsibilities

• Build scalable data pipelines and models for analytics, AI/ML, and reporting.
• Implement ML inference and data processing logic using Snowpark (Python/Java) and UDFs.
• Integrate Snowflake with AI/ML frameworks, GenAI services, and enterprise platforms via secure APIs.
• Develop and optimize SQL transformations and ELT workflows for high-performance analytics.
• Ensure data governance, security, and lineage align with banking and regulatory requirements.

Required Skills

• 10+ years of experience in relevant development roles.
• Strong hands-on experience with Snowflake Data Cloud (data modeling, performance tuning, security).
• Proficiency in Python and SQL.
• Experience with Snowpark and Snowflake-native AI features.
• Solid foundation in AI/ML concepts, including feature engineering and model inference.
• Experience building and integrating REST APIs and data services.
• Familiarity with structured and semi-structured data (JSON, Parquet).
• Experience with cloud platforms (AWS preferred).
• Knowledge of AI/ML libraries such as TensorFlow.

Preferred Skills

• Experience with Java in Snowpark environments.
• Knowledge of GenAI service integration patterns.

Key Skills

Education

Any Gradute