Senior Data Engineer

📋 Description

• Maintain, optimize, and automate existing code repositories in GitHub.
• Refactor legacy code to simplify maintenance and reuse.
• Design and build modular, reusable code components for journeys.
• Develop automated data pipelines in Databricks for Journey Analytics.
• Consolidate KPIs and attributes into standardized data structures.
• Build scalable data models to support current and future analytics.

🎯 Requirements

• Strong experience with GitHub repositories and version control workflows.
• Hands-on experience with Databricks data pipelines.
• Proven experience refactoring and maintaining legacy codebases.
• Strong understanding of data modeling and reusable component design.
• Experience building scalable data models for analytics and reporting use cases.
• Strong focus on data quality, performance, and reliability.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• AI learning paths to stay up to date.
• Study plans and certifications tailored to your role.
• Access to Udemy Business for courses.
• English lessons to support professional communication.
• Travel opportunities to attend industry conferences.