Develop and deploy big data anti-fraud detection solutions and models using Python and PySpark, with potential to improve them with machine learning algorithms
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 algorithms.
Collaborate closely with product owners, analysts, developers, and testers to understand requirements, design solutions, and ensure software reliability and maintainability.
Deutsche Bank offers a professional, passionate, and fun workplace with flexible Work from Home options, continuous learning culture, private healthcare, and competitive income.
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 algorithms.
Skills & Requirements
Must-have
Python and PySpark development
Hadoop ecosystem (Spark, HDFS, Hive)
Big data processing and optimization
Test driven development
Server-side code development
Unix/Linux environments
Agile and Scrum methodologies
Nice-to-have
Continuous learning and knowledge sharing
Problem-solving and teamwork
Time management and meeting deadlines
Financial services / banking exposure
DevOps practices and CI/CD
Google Cloud Platform experience
Data mining and analytical approach
Key Requirements
Bachelor’s degree in Computer Science or IT-related discipline (or equivalent)
Experience with Big Data and Hadoop Ecosystem
Proficient understanding of distributed computing principles
Hands on knowledge of Shell Scripting
Experience using Control-M Workload Automation tool