1. Design and implement scalable data platforms on Snowflake for retail analytics 

1. Build and optimize ELT pipelines for retail data (POS, e-commerce, CRM, inventory, supply chain) 

1. Leverage Snowflake Cortex to enable AI-driven use cases such as: Customer segmentation & personalization, Product recommendations, promo analysis 

1. Integrate data from multiple retail systems (ERP, OMS, WMS, e-commerce platforms) 

1. Develop data models for key retail metrics (sales, margins, inventory turnover, basket analysis) 

1. Ensure data quality, governance, and compliance across datasets 

1. Optimize Snowflake performance and cost for large-scale retail workloads 

1. Collaborate with business stakeholders (merchandising, marketing, supply chain teams) 

1. Enable near real-time analytics for inventory and order tracking 

Desired Candidate Profile

1. 5+ years of experience in Data Engineering, preferably in retail or e-commerce 

1. Strong hands-on experience with Snowflake Data Cloud 

1. Experience with Snowflake Cortex (AI/ML functions, LLM-powered analytics) 

1. Advanced SQL and strong Python skills 

1. Experience with ETL/ELT tools (dbt, Airflow, etc.) 

1. Strong understanding of retail data models and KPIs 

1. Experience with cloud platforms (AWS, Azure, or GCP) 

1. Experience with BI tools (Tableau, Power BI, Looker) 

1. Snowflake or cloud certifications (good to have)