Senior Data Engineer

📋 Description

• Design, develop, and optimize end-to-end data pipelines using Azure Databricks.
• Refactor legacy code to simplify maintenance and reuse.
• Design and build modular, reusable code components to support multiple journeys.
• Consolidate KPIs and metrics into standardized data structures for flexible views.
• Build and maintain scalable data models for current and future journey analytics.
• Ensure data quality, performance, and reliability across pipelines and analytics datasets.

🎯 Requirements

• 4+ years of experience in Data Engineering.
• Strong experience with GitHub repositories and version control workflows.
• Hands-on experience developing and maintaining data pipelines in Azure Databricks.
• Strong experience with SQL and large-scale data processing.
• Hands-on experience with Apache Spark (PySpark preferred).
• Experience working with dbt for data transformation and modeling.
• Strong understanding of Medallion Architecture (Bronze, Silver, Gold).
• Strong data modeling and reusable component design.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business.
• English lessons to support professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and development programs.
• Flexible working options.