Intern / Working Student - Big Data / Data Warehouse Developer (f/m/d)

Internship
Description

Your field of activityStatistiX® is Data Platform of Deutsche Börse Group, which includes Data Warehouse and Data Lake. StatistiX® provides external and internal users worldwide with statistical information on financial markets. You will be part of StatistiX DEV Clearing Team. Main responsibility of this team is to support Clearing business and projects with Data Platform and reporting functionalities. Furthermore find an effective way to solve actual business problems with ETL/Oracle and new technologies based on Cloudera Stack (incl. HDFS, HBase, Kafka) starting from requirements analyses, implementation till installation in production. Your responsibilities You will support with development and test of ETL processes, like data ingestion, report calculation and analytics You will help with development and extension of common components for ingestion and reporting in data platform using Apache Spark in Scala You will be also involved in functional requirements analyses in Eurex Clearing area (C7, OTC/Calypso, C7 SCS)Your profile You are enrolled during the entire period of activity at a state-recognized university as a regular student, and have completed at least 4 semesters with study focus in the field of Computer Science or other relevant fields. Furthermore, we offer the possibility of an orientation internship, whereby you are currently in a gap-year after your bachelor's or master's degree in the above-mentioned fields of study - in this case, an enrolment is not required Ideally, you have already gained first practical experience in one of these fields: database concepts, Java or Scala development Preferably, you already gained strong knowledge about different data structures and algorithms, have an understanding of concepts of OOP and an affinity for analyses and problem solving Furthermore, you are characterized by a willingness to learn and to adapt in a fast-changing environment You are proficient in written and spoken English