Snowflake Data Engineer - Cortex AI
About The Position
Wipro Limited is seeking a hands-on engineer to design, build, and operationalize AI-powered data solutions on Snowflake. The role combines customer engagement, solution architecture, data engineering, and AI implementation, with a focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms. The position is located in Las Vegas, Nevada, with three days onsite per week. The engineer will develop AI applications and data platforms, build data pipelines and real-time integrations, and lead activities from workshops and proofs of concept through production deployments. The role also involves creating reusable accelerators and best practices. The expected compensation ranges from $60,000 to $135,000, with final compensation determined by factors including location, skills, and relevant experience.
Requirements
- 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 such as AWS, Azure, or GCP.
- Strong customer-facing communication and solution architecture skills.
- Mandatory skills: Data Integration and PySpark.
- 5–8 years of experience.
Nice To Haves
- Snowflake certifications in Architect, Data Engineer, or 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.
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 using Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
- Build robust ELT/ETL pipelines and real-time integrations.
- Lead workshops, architecture reviews, proofs of concept, and production deployments.
- Develop reusable accelerators and best practices.
Benefits
- Medical benefits options
- Dental benefits options
- Disability insurance
- Paid time off, inclusive of sick leave
- Other paid and unpaid leave options
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
