Snowflake Data Engineer AI

Job Title

Snowflake Data Engineer with AI

San Jose, CA / RTP, North Carolina (Hybrid)

Permanent Fulltime

Our client is looking for Snowflake Data Engineer with AI for Long term project in San Jose, CA / RTP, North Carolina. Below is the detailed requirements.

• Proven experience in designing, building, and maintaining complex ETL/ELT data pipelines from diverse data sources.
• Advanced proficiency in Python for data manipulation
  , scripting, automation, and API integrations
  .
• Advanced SQL skills
  , including expertise in joins, window functions,
  Common Table Expressions (CTEs), User Defined Functions, and other SQL concepts
  .
• Hands‑on experience with Snowflake
  , including data loading, SQL optimization, virtual warehouses, and understanding of its architecture.
• Strong understanding of Snowflake APIs, RBAC, Dynamic Tables, Materialized Views, Row Access Policies, Column Data Masking
  , as well as security and governance features.
• Strong knowledge of machine learning concepts
  ; experience in designing and developing AI solutions
  .
• Experience with Dev Ops technology and cloud services
  .
• Experience with LLMs, Agentic AI implementation
  .
• Excellent communication and collaboration skills.
• Exceptional analytical and problem‑solving skills with the ability to diagnose issues, propose solutions, and implement them effectively.

• Experience in advanced Exploratory Data Analysis and Data Modeling techniques to drive actionable insights.
• Good understanding of Cloud Computing concepts and practical usage of either AWS, Azure, or Google Cloud Platform.
• Hands‑on experience with REST API implementation and integration.
• Snowflake certification is an asset.

• Collect and prepare data from diverse sources for analysis, ensuring high-quality and relevant datasets for effective decision‑making.
• Design, create, and support AI‑driven products, focusing on delivering scalable and impactful AI solutions that meet the business objectives.
• Utilize version control for maintaining codebase integrity and collaboration, fostering a collaborative and error‑free development environment.
• Create and manage the AI development process.