Data Engineer (Databricks / PySpark / AML)

This role involves working on the development and migration of the data layer in the AML (Anti-Money Laundering) domain within the banking industry, focusing on data integration and ETL processes.

• Strong knowledge of Databricks.
• Strong knowledge of PySpark.
• Advanced knowledge of Python.
• Advanced knowledge of SQL / PL/SQL.
• Experience designing and developing ETL processes.
• Experience integrating data from multiple sources (API, databases, batch).

Nice to have:

• Experience in AML or Data Warehouse projects.
• Knowledge of modern data platform architectures.
• Analytical thinking and problem-solving skills.
• Ability to translate business requirements into technical solutions.
• Good organization and communication skills.
• Teamwork capability.

• Develop and maintain solutions in Databricks using PySpark.
• Design, develop, and optimize ETL processes.
• Integrate data from various sources including APIs, databases, files, and batch processing.
• Migrate existing ETL processes to a new data architecture.
• Transform, clean, and map data.
• Create and optimize SQL queries.
• Collaborate with analysts and business teams on solution design.