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

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