Senior Data Engineer

📋 Description

• Maintain, optimize, and automate existing code repositories in GitHub.
• Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases.
• Design and build modular, reusable code components to support multiple journeys and reduce
• Develop and manage automated data pipelines in Databricks to support datasets and downstream
• Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible
• Build and maintain scalable data models to support current and future journey analytics use cases.

🎯 Requirements

• Strong experience working with GitHub repositories and version control workflows.
• Hands-on experience developing and maintaining data pipelines in Databricks or Snowflake.
• 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 (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.