Senior Data Engineer

📋 Description

• Build, maintain, and optimize scalable data solutions for analytics and reporting.
• Refactor legacy code and design modular, reusable components.
• Develop and manage automated data pipelines in Databricks to support datasets and downstream
• Consolidate KPIs and metrics into standardized data structures for flexible journey views.
• Maintain scalable data models to support current and future journey analytics.
• Ensure data quality, performance, and reliability across pipelines and datasets.

🎯 Requirements

• GitHub repositories and version control workflows experience.
• Hands-on experience with Databricks or Snowflake data pipelines.
• Proven refactoring and maintenance of legacy codebases.
• Strong data modeling and reusable component design.
• Experience building scalable data models for analytics/reporting.
• Focus on data quality, performance, reliability.

🎁 Benefits

• Learning opportunities: Certifications in AWS, Databricks, Snowflake.
• Access to AI learning paths, Udemy Business, and-English lessons.
• Travel opportunities to conferences, mentoring programs, and personal milestone rewards.