Lead Data Engineer

📋 Description Lead design and implement Snowflake ingestion architectures for scalability. Own end-to-end ELT pipelines across multiple data sources. Design and enforce data quality frameworks with validation and monitoring. Apply Medallion Architecture best practices across pipelines. Build/optimize data pipelines on AWS (S3, Glue, Lambda, EMR). Develop data validation/ingestion frameworks, including Streamlit UI when needed. 🎯 Requirements 4+ years in Data Engineering; senior/lead mindset. Strong hands-on Snowflake experience. ELT pipelines and data ingestion experience. SQL and large-scale data processing. Medallion Architecture (Must). AWS data pipelines experience (Plus). 🎁 Benefits Certifications in AWS, Databricks, and Snowflake. Access to AI learning paths and Udemy Business. English lessons to support professional communication. Travel to industry conferences and client meetings. Mentoring and development programs. Flexible working options.