Research Engineer
Zalando Payments GmbH
(Internet and Information Technology, 5000-10.000 employees)
Skills
Most experienced (used daily over several years): Apache Spark, AWS, AWS EMR, AWS Data Pipelines, AWS S3, Scala, SQL, Unix Shell/Bash, Git, Jira, R, machine learning, big data, ETL
Also experience in: Python, Jenkins, Docker, Kanban, Agile, Scrum, Markdown, LaTeX, ETL, postgreSQL
Also experience in: Python, Jenkins, Docker, Kanban, Agile, Scrum, Markdown, LaTeX, ETL, postgreSQL
Project history
10/2016
-
01/2020
As part of an engineering team I developed tools helping merchants to steer consumer’s payment choice.
• designing and implementation of ETL processes and prediction logic
• Scala, Spark, EMR, AWS data pipelines
• designing and implementation of ETL processes and prediction logic
• Scala, Spark, EMR, AWS data pipelines
03/2015
-
09/2016
Junior Research Engineer
Zalando Payments GmbH
(Internet and Information Technology, 5000-10.000 employees)
Part of an engineering team with end-to-end responsibility for Zalando’s machine learning based fraud detection systems.
• distributed model training on big data
• maintained web-services which serve models within milliseconds
• Scala, Spark, AWS, Play web framework
• distributed model training on big data
• maintained web-services which serve models within milliseconds
• Scala, Spark, AWS, Play web framework
09/2012
-
02/2015
Business Analyst - Finance Department
Zalando SE
(Internet and Information Technology, 5000-10.000 employees)
* KPI forecasting and reporting
* business impact estimates for using ML models
* R Python
* business impact estimates for using ML models
* R Python
Local Availability
Open to travel worldwide
Berlin: 4 Tage / Woche vor Ort, 1 Tag remote
Außerhalb Berlins: 1 Tag / Woche vor Ort, 4 Tage remote
Außerhalb Berlins: 1 Tag / Woche vor Ort, 4 Tage remote
