Senior Data Engineer

📋 Description

• Design, develop, and optimize end-to-end data pipelines using Azure Databricks.
• Collaborate with analytics, data science, and business teams to deliver data solutions.
• Refactor legacy code to simplify maintenance and reuse across use cases.
• Design and build modular, reusable code components to support multiple journeys.
• Consolidate KPIs and attributes into standardized data structures for flexible views.
• Build scalable data models and ensure quality, performance, and reliability.

🎯 Requirements

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

🎁 Benefits

• AWS, Databricks, and Snowflake certifications.
• Udemy Business access for courses and skill growth.
• English lessons to support professional communication.
• Travel opportunities to industry conferences.
• Mentoring and career development programs.
• Flexible work options; company-provided equipment.