15 days ago
Responsibilities
- Design and deploy Cortex AI solutions using LLM functions for healthcare data use cases.
- Build and orchestrate Cortex Agents and Cortex Analyst workflows for natural-language querying and data automation.
- Implement Cortex Search, vector embeddings, VECTOR data types, Arctic Embed, and RAG pipelines.
- Build production-grade Streamlit in Snowflake applications, dashboards, and AI-assisted exploration tools.
- Develop Snowpark for Python transformations, feature engineering pipelines, ML preprocessing, UDFs, UDTFs, stored procedures, and DataFrame workflows.
- Build and manage ELT pipelines using Snowflake Streams, Tasks, Dynamic Tables, and Snowpipe for batch and real-time ingestion.
- Optimize Snowflake performance through partition pruning, clustering keys, materialized views, search optimization, and warehouse right-sizing.
- Design healthcare data platforms using Data Vault or Medallion architecture patterns.
- Integrate Snowflake with healthcare data sources and downstream BI platforms.
- Implement Snowflake governance, security, data lineage, cataloging, classification, and access controls while supporting HIPAA and PHI requirements.
- Partner with data scientists, ML engineers, clinical analysts, and business stakeholders to deliver Snowflake-native solutions.
- Drive Snowflake best practices, onboarding, platform roadmap planning, and feature adoption strategy.
Requirements
- At least 5 years of data engineering experience, including at least 3 years of hands-on Snowflake experience.
- Proven experience with Snowflake Cortex AI features, including LLM functions, Cortex Analyst, Cortex Search, and AI agent orchestration.
- Production experience building Streamlit in Snowflake applications.
- Proficiency with Snowpark for Python, including custom UDFs, UDTFs, stored procedures, and the DataFrame API.
- Strong SQL skills and deep knowledge of Snowflake execution, query profiling, and optimization.
- Experience with Snowflake data sharing, Marketplace, and cross-cloud or cross-region replication.
- Familiarity with vector search, embeddings, and RAG architectures within or integrated with Snowflake.
- Good-to-have experience with Azure and GCP cloud platforms and cloud-native service integrations.
- Strong understanding of analytics data modeling, including star schema, Data Vault, and Medallion/Lakehouse patterns.
- Knowledge of Medicare Stars Patient Safety is a strong plus.
Tech Stack
Categories
AI ApplicationsData Engineering
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).