Develop and deploy big data anti-fraud detection solutions and models using Python and PySpark, with potential to improve them with machine learning
Job Summary
Develop and deploy big data anti-fraud detection solutions and models using Python and PySpark, with potential to improve them with machine learning.
Collaborate closely with product owners, analysts, developers, and testers to ensure the delivery of reliable and maintainable software.
Deutsche Bank offers a professional, passionate, and fun workplace with flexible Work from Home options, continuous learning culture, and comprehensive well-being and financial security benefits.
Matching Summary
Develop and deploy big data anti-fraud detection solutions and models using Python and PySpark, with potential to improve them with machine learning.
Skills & Requirements
Must-have
Python and PySpark development
Big data processing
Distributed computing principles
Unix/Linux environments
Hadoop Ecosystem: Spark, HDFS, Hive
Version control systems such as Git
Nice-to-have
Machine learning algorithms and models
DevOps practices like CI/CD
Shell Scripting
Problem-solving skills
Team collaboration
Time management
Key Requirements
Bachelor’s degree in Computer Science or IT-related discipline (or equivalent)
Proven experience developing with the described tools stack
Experience with Hadoop ecosystem, performance optimization, development, deployment and maintaining code in production