Data Engineer Lead

📋 Description Prepare, structure, and enable the Snowflake data required to support the Dataiku PO agent POC. Design, develop, and maintain data pipelines to ingest, transform, normalize, and prepare data from Design and implement data ingestion workflows in Snowflake, ensuring scalability, reliability, and Develop and maintain data models that support analytical use cases and the requirements of the POC. Implement data quality checks and validation rules to ensure data accuracy, consistency Use SQL and Python to process, transform, and validate large datasets efficiently. 🎯 Requirements 5+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus. Strong hands-on experience with Snowflake (must-have). Strong SQL skills, including data transformation, querying, and validation. Experience with data modeling and preparing datasets for analytical and downstream applications. Proven experience in data quality validation, including implementing checks to ensure accuracy Experience building and maintaining ETL pipelines and data ingestion workflows. 🎁 Benefits Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication. Travel opportunities to attend industry conferences and meet clients.