Key Responsibilities
Design and develop data pipelines and AI-infused solutions using Snowflake and Azure.
Build and optimize Retrieval-Augmented Generation (RAG) systems, chatbots, and GenAI-powered applications.
Leverage Cortex and ML capabilities within Snowflake for intelligent data processing.
Collaborate with cross-functional teams to deliver scalable and secure data solutions.
Apply advanced SQL and Python skills to manipulate and analyze large datasets.
(Optional) Develop dashboards and reports using Power BI.
Required Skills & Experience
3+ years of hands-on experience with Snowflake, including native Cortex and ML features.
3+ years of experience with Python for data engineering and ML tasks.
3+ years of experience with Azure cloud services.
Strong proficiency in SQL for data manipulation and performance tuning.
Experience with GenAI, LLMs, and ML/AI frameworks.
2+ years of experience with Power BI (nice to have).
Preferred Qualifications
Experience in deploying AI/ML models in production.
Familiarity with MLOps and data governance best practices.
Strong problem-solving and communication skills.
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