Working Student in Data Evaluation and Analysis (f/m/div.)
Working Student in Data Evaluation and Analysis (f/m/div.)
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Salary Not Disclosed
1 Vacancy
Job Description
- As our working student you will collaborate with the Data Engineering team at Bosch Sensortec to design and build data pipelines for various sensor development projects gaining hands-on experience in big data applications.
- You will assist in writing Python code for Spark data applications and help integrate relational Oracle databases into our workflows.
- Furthermore you will develop and maintain interactive data visualizations using Tableau enhancing your skills in data presentation.
- Last but not least you will actively participate in team meetings and contribute to project discussions by sharing your insights and ideas fostering a collaborative environment.
Qualifications :
- Education: studies in the field of Computer Science Data Science Mathematics Statistics or comparable
- Experience and Knowledge: proficiency in Python programming with a foundational understanding of data analysis and visualization concepts; previous experience with PySpark Tableau or Oracle is an advantage
- Personality and Working Practice: you possess excellent analytical and problem-solving skills coupled with strong communication and teamwork abilities; you demonstrate a responsible and independent working style with the capability to comprehend complex topics and manage your time efficiently
- Languages: good communication skills in written and spoken English
Additional Information :
Start: according to prior agreement
Duration: 6 months 10 h/week
Requirement for this working student position is the enrollment at university. Please attach your CV transcript of records enrollment certificate 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
Mohit Rana (Functional Department)
49
#LI-DNI
Remote Work :
No
Employment Type :
Part-time
Employment Type
Part-time
