Databricks Developer - Banking

📋 Description

• Develop and maintain data ingestion, transformation, and publishing using Databricks and PySpark.
• Build and optimize ETL/ELT pipelines for large data volumes.
• Implement Delta Lake structures for operational and analytical use.
• Develop incremental loading, historization, and CDC mechanisms.
• Integrate data from Oracle, SQL Server, APIs, files, and banking apps.
• Contribute to Data Lakehouse architecture and scalable data models.

🎯 Requirements

• Minimum 5 years in Data Warehouse/Big Data or enterprise data platforms.
• Minimum 2–3 years hands-on Databricks experience.
• Proven end-to-end data pipeline development experience.
• Strong Data Lakehouse knowledge; historization, CDC, data quality.
• Technical skills: Azure Databricks/PySpark, Advanced SQL, Delta Lake, Git & Jira, Data

🎁 Benefits

• Premium medical package
• Lunch Tickets & Pluxee Card
• Bookster subscription
• 13th salary/yearly bonuses