Data Engineer - Python/Java, Spark & AML Pipelines
Posted
Summary
Data engineer at DCG designing and optimizing data pipelines for capital markets AML (anti-money-laundering) detection. Day to day involves building detection logic and scoring components for financial-crime use cases using Python, Java, Apache Spark/PySpark, Spark SQL and SQL.
DCG is seeking a skilled data engineering professional to design and optimize data pipelines supporting end-to-end Capital Markets AML detection scenarios. You will implement detection logic and scoring components for financial-crime use cases while ensuring high-quality engineering across code and data pipelines.
Strong programming skills in Python and Java, plus advanced experience with Apache Spark, PySpark, Spark SQL and SQL are required.