Snowflake Data Engineer - Cortex AI

Role: Snowflake Data Engineer - Cortex AI Location: Las Vegas, NV (3 Days onsite/Week)

About the Role We're seeking a hands-on Engineer who can help design, build, and operationalize AI-powered data solutions on Snowflake. This role combines customer engagement, solution architecture, data engineering, and AI implementation, with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms.

Key Responsibilities • Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop. • Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications. • Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services. • Build robust ELT/ETL pipelines and real-time integrations. • Lead workshops, architecture reviews, PoCs, and production deployments. • Develop reusable accelerators and best practices.

Required Qualifications • 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms. • Deep expertise in Snowflake architecture, security, governance, and performance optimization. • Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns. • Experience building LLM, RAG, vector search, and agentic AI solutions. • Strong SQL and Python skills. • Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP). • Strong customer-facing communication and solution architecture skills.

Preferred Qualifications • Snowflake certifications (Architect, Data Engineer, AI specialization). • Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps. • Experience integrating OpenAI, Anthropic, Gemini, or open-source models. • Knowledge of enterprise security, governance, privacy, and compliance frameworks.

Mandatory Skills: Snowflake Data Engineering.

Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $135,000.

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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