Snowflake Data Engineer (Cortex)

Job description

**Job Description: Data Engineer** Experience: 4  - 12 yrs. **The Role** 2 skilled and experienced Snowflake Developer, data engineer. The candidate should have deep hands-on expertise in Snowflake platform development, with a strong focus on Snowflake Cortex AI, Cortex Search, and AI Agent development. The candidate will design and build intelligent data solutions that leverage Snowflake's latest AI and ML capabilities. **Key Responsibilities** - Design, develop, and optimize Snowflake data pipelines, data models, and workflows. - Build and implement solutions using  Snowflake Cortex AI features including LLM functions, text analytics, and AI-driven transformations - Develop and integrate Cortex Search capabilities to enable intelligent, semantic search experiences over structured and unstructured data - Build and deploy AI Agents that interact with Cortex Search to answer queries, retrieve relevant data, and automate intelligent workflows - Collaborate with data scientists, ML engineers, and business stakeholders to translate requirements into scalable Snowflake AI solutions - Leverage Snowflake AI development resources including Cortex ML functions, Snowpark, and related frameworks - Optimize query performance, resource utilization, and virtual warehouse management - Ensure data quality, security, and governance standards across all Snowflake objects **Required Skills & Qualifications** - 4 12 years of hands-on experience as a Snowflake Developer Data Engineer - Strong experience with Snowflake Cortex AI, including built-in LLM functions - Hands-on experience with Cortex search, building search services, configuring semantic search, and integrating search into applications or agents - Experience building or working with AI Agents that leverage Cortex Search for intelligent retrieval and response generation - Proficiency in Snowpark (Python or Java) for advanced data processing and ML workflows - Strong SQL skills - Familiarity with RAG patterns - Experience with Streamlit for building AI-powered internal applications - Understanding of data security, role-based access control (RBAC), and governance in Snowflake **Good to Have** - Familiarity with cloud platforms such as AWS, Azure, or GCP - Knowledge of vector embeddings and semantic search concepts - Exposure to orchestration tools like Apache Airflow or dbtD