Senior Data Engineer (Databricks / PySpark / AML)

Project in the banking industry focused on Anti-Money Laundering (AML).

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

Nice to have:

• Experience with AML or Data Warehouse projects.
• Knowledge of modern data platform architectures.

• Develop and maintain solutions using Databricks and PySpark.
• Design, develop, and optimize ETL processes.
• Integrate data from various sources including APIs, databases, and batch files.
• 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 in solution design.