Databricks Data Engineer | Senior

📋 Description

• Design, build, migrate, and evolve data engineering solutions within Databricks environments.
• Develop and maintain scalable, reliable, and high-performance data pipelines.
• Implement data ingestion, transformation, and delivery processes using Apache Spark and PySpark.
• Design and implement Data Lake and Data Lakehouse architectures using the Medallion model across
• Translate business rules and requirements into efficient data processes and technical solutions.
• Participate in data platform migration and modernization projects.

🎯 Requirements

• Strong hands-on experience with PySpark, Apache Spark, and SQL.
• Practical experience with Databricks, including Delta Lake, Delta Tables, Unity Catalog, and
• Experience with Lakeflow Connect for data ingestion is desirable.
• Experience with Databricks Jobs, Workflows, orchestration, and pipeline monitoring.
• Solid understanding of Lakehouse architecture and the Medallion model using Bronze, Silver, and
• Previous experience migrating data platforms or delivering data engineering projects using

🎁 Benefits

• Remote work model.
• Full-time employment.
• Opportunity to work with modern data engineering technologies and Databricks-based Lakehouse
• Exposure to large-scale data migration and modernization initiatives.
• Opportunity to work with Spark, PySpark, Delta Lake, Unity Catalog, Lakeflow, and other cloud data
• Professional development in a technology-driven environment focused on AI and modern digital