Job Overview:

We are looking for an experienced Data Engineer with AI Insights to design and deliver robust data solutions that enable AI-driven analytics and decision-making. The role combines strong expertise in Snowflake and Python with hands-on experience in building ETL/ELT pipelines, preparing data for AI/ML workflows, and supporting modern LLM and RAG-based applications.

Key Responsibilities:

• Develop and optimize ETL/ELT pipelines using Python, SQL, and Snowflake to ensure high-quality data for analytics, AI, and LLM workflows.
• Build and manage Snowflake data models and warehouses, focusing on performance, scalability, and security.
• Collaborate with AI/ML teams to prepare datasets for model training, inference, and LLM/RAG-based solutions.
• Automate data workflows, validation, and monitoring for reliable AI/ML execution.
• Support RAG pipelines and LLM data integration, enabling AI-driven insights and knowledge retrieval.
• Partner with business and analytics teams to transform raw data into actionable AI-powered insights.
• Contribute to dashboarding and reporting using Tableau, Power BI, or equivalent tools.

Qualifications

• 5+ years of Data Engineering experience with exposure to AI/ML workflows.
• Advanced expertise in Python programming and SQL.
• Hands-on experience with Snowflake (data warehousing, schema design, performance tuning).
• Experience building scalable ETL/ELT pipelines and integrating structured/unstructured data.
• Familiarity with LLM and RAG workflows, and how data supports these AI applications.
• Experience with reporting/visualization tools (Tableau)
• Strong problem-solving, communication, and cross-functional collaboration skills.

Preferred Skills

• Experience with MLOps pipelines and ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Knowledge of cloud data platforms (AWS) and orchestration tools (Airflow, dbt).
• Exposure to containerization (Docker, Kubernetes) and CI/CD practices.
• Ability to partner with business and analytics teams to deliver actionable insights.