Senior Data Engineer

📋 Description Build, maintain, and optimize scalable data solutions for Journey Analytics. Focus on maintainability, reusable components, and reliable pipelines. Maintain and refactor existing codebases, developing modular components. Ensure high-quality, performant datasets for analytics and reporting. Experience with code repositories, Databricks pipelines, and scalable data models. 🎯 Requirements Strong experience with GitHub repositories and version control. Hands-on data pipelines in Databricks. Refactoring and maintaining legacy codebases. Strong data modeling and reusable component design. Experience building scalable data models for analytics and reporting. Data quality, performance, and reliability focus. 🎁 Benefits AWS, Databricks, and Snowflake certifications. AI learning paths and Udemy Business access. English lessons to support professional communication. Travel opportunities to industry conferences and meet clients. Career development plans and mentorship programs. Flexible working options to balance work and life.