Internship in in Data Quality Project
Wernau (Neckar), BW, Germany
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Bosch Home Comfort Group is looking forward to your application!
Job Description
- During your internship you will support in maintenance of Data in Modularization project in internal IT tools
- You will generate regular reports via SQL related to Modularization project Data Quality processes
- Furthermore, you will enhance and update related community within Bosch internal Social Media platform and Docupedia.
- In addition, you will support in documentation for trainings related to Modularization
Qualifications
- Education: Master studies in the field of Computer Science, IT or comparable with very good grades
- Experience and Knowledge: in SQL and in MS Office; experience in another company in a related profile is a plus; basic knowledge of SAP beneficial
- Personality and Working Practice: you are independent, methodical, systematic, analytical and ability to think out of the box
- Languages: good communication skills in German and English
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Priyanjali Mitra (Functional Department)
+49 173 2567306
#LI-DNI
Tags: Computer Science Data quality Spark SQL
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