Data Engineer - Python/Java, Spark & AML Pipelines

DCG; Polska; Hybrid; PLN 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Private medical care

Co-financing for sports card

Dedicated consultant

Zusammenfassung

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.

Qualifikationen

• Proficient in Python and Java programming.
• Strong experience with Apache Spark, PySpark, Spark SQL and SQL for large-scale data processing.
• Experience with distributed compute platforms and on-premise clusters.
• Familiar with CI/CD tools (Bamboo/Jenkins, Bitbucket) and Agile teams.

Aufgaben

• Design, implement and optimize data pipelines for Capital Markets AML detection scenarios.
• Implement detection logic, rule frameworks and scoring components for financial-crime use cases.
• Ensure high-quality engineering across code, data pipelines and operational solutions.

Kenntnisse

Python

Java

Spark

PySpark

Spark SQL

SQL

CI/CD

Agile

English

Tools

Bamboo

Jenkins

Bitbucket

Jobbeschreibung

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.