The role involves designing and implementing scalable Big Data architectures using distributed systems like Spark and Hadoop to protect the bank from financial crimes
Job Summary
The role involves designing and implementing scalable Big Data architectures using distributed systems like Spark and Hadoop to protect the bank from financial crimes.
Candidates must possess advanced Python skills and deep knowledge of the Hadoop ecosystem including Hive, YARN, and Kerberos with at least five years of experience.
Deutsche Bank offers a collaborative culture with flexible work-from-home options, continuous learning opportunities, and comprehensive private healthcare benefits.
Matching Summary
The role involves designing and implementing scalable Big Data architectures using distributed systems like Spark and Hadoop to protect the bank from financial crimes.
Skills & Requirements
Must-have
Big Data and Hadoop Ecosystem experience
Advanced Python programming skills
Database knowledge SQL Oracle Hive Impala
Cloudera distribution expertise
5 years proven experience in Big Data
Nice-to-have
Cloud implementation GCP ideal
DevOps practices CI/CD awareness
Financial industry experience preferred
Shell Scripting hands-on knowledge
Reporting tools Tableau Looker exposure
Key Requirements
Bachelor Degree in Computer Science or IT-related discipline
At least 5 years proven experience in Big Data
Statistical modelling aptitude and analytical approach