Internship in Data Engineering
Internship in Data Engineering
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Salary Not Disclosed
1 Vacancy
Job Description
- During your internship you will collaborate with the team to optimize processes and implement datadriven solutions in the eBike NVH team.
- You will design build and maintain robust realtime data pipelines to process sensor data from various sources.
- Furthermore you will ensure the integrity and performance of the data pipeline handling ingestion validation transformation and storage of data efficiently.
- Develop and optimize relational database schemas (MySQL preferred) for raw and aggregated data storage also falls within your area of responsibility.
- You will monitor and troubleshoot pipeline performance ensuring fault tolerance and automation for high availability.
- Finally you will provide documentation and best practices for scaling and enhancing the pipeline for productionlevel workloads.
Qualifications :
- Education: studies in the field of Computer Science Data Engineering Electrical Engineering or comparable
- Experience and Knowledge: proficiency in Python and SQL (MySQL preferred); strong experience with ETL processes realtime data ingestion and processing frameworks; knowledge of distributed systems or cloudbased data services (e.g. Apache Kafka AWS Lambda); familiarity with sensor data processing including validation transformation and aggregation techniques; experience with database optimization schema design and handling largescale data
- Personality and Working Practice: you have excellent problemsolving skills (with a focus on scalable and maintainable solutions) and a structured autonomous working style paired with initiative and adaptability
- Enthusiasm for IT datadriven problemsolving and implementing innovative solutions in realtime data engineering
- Languages: fluent in German and/or 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
Thomas Alber (Functional Department)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
