Deutsche Bank is seeking a Senior Pyspark Data Engineer for its Bucharest Technology Centre, focusing on developing anti-fraud detection solutions within the Investment Banking & Anti-Financial Crime & Compliance team. The ideal candidate should have a strong background in Python, PySpark, and big data technologies, along with a collaborative mindset and problem-solving skills
Job Summary
As part of a development team, collaborate with other team members to understand requirements, analyze, and refine user stories, design solutions, implement them, test them, and support them in production.
Develop and deploy, within a team, big data anti-fraud detection solutions and models using Python and PySpark; ability/willingness to learn how to improve them with machine learning algorithms and models.
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Matching Summary
Match Score: 85
Deutsche Bank is seeking a Senior Pyspark Data Engineer for its Bucharest Technology Centre, focusing on developing anti-fraud detection solutions within the Investment Banking & Anti-Financial Crime & Compliance team. The ideal candidate should have a strong background in Python, PySpark, and big data technologies, along with a collaborative mindset and problem-solving skills.
Skills & Requirements
Must-have
Python and PySpark development
processing large data volumes
Hadoop Ecosystem: Spark, HDFS, Hive
distributed computing principles
Unix/Linux environments
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 skills
Key Requirements
Bachelor’s degree in Computer Science or IT-related discipline (or equivalent work experience/diploma/certification)
Proven experience developing with the tools stack described
Experience with Hadoop ecosystem
Performance optimization experience
Development, deployment and maintaining code in production