Data Engineer Lead

📋 Description

• Lead the design and implementation of data ingestion architectures in Snowflake, ensuring
• Own the development of end-to-end ELT pipelines integrating multiple data sources.
• Design and enforce data quality frameworks, including validation rules, testing strategies, and
• Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines.
• Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.).
• Develop and enhance data validation and ingestion frameworks, including UI components

🎯 Requirements

• 5+ years of experience in Data Engineering (strong senior-level or lead mindset expected)
• Strong hands-on experience with Snowflake (Must)
• Strong experience building ELT pipelines and data ingestion solutions
• Solid experience with SQL and large-scale data processing
• Strong understanding and hands-on experience with Medallion Architecture (Plus)
• Experience building and maintaining data pipelines in AWS (Must)

🎁 Benefits

• 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