Working Student with focus on Data Engineering f/m/d

vor 1 Woche


Graz, Steiermark, Österreich AVL Vollzeit
YOUR RESPONSIBILITIES:
  • You will collaborate with data scientist, data engineers, and domain experts to define and set up analytics environments for data analytics applications.
  • Your tasks will include assisting with statistical modeling and (machine) learning techniques to optimize processes and support engineering decisions.
  • Your support will be needed in the implementation of ETL-processes (Extract, Transform, Load) and the development of large-scale data processing engines using time series data.
  • Together with your colleagues, you will contribute to the research and development as well as the continuous improvement of leading technologies and methodologies in the field of Data Engineering.
  • You will work with data scientists to develop on-premise, hybrid, and cloud solution architectures.
  • You will have the chance to work on various database technologies (SQL/OLAP and Non-SQL databases) and cloud technologies (such as Azure, AWS, or GCP).
YOUR PROFILE:
  • You are currently actively studying with a focus on software engineering, computer science, informatics, telematics, mathematics, statistics, or similar.
  • You are particularly proud of your experience with Python, especially with PyData (Pandas, Numpy).
  • You already have experience with Linux and scripting languages such as Bash scripts.
  • Due to your study, you have knowledge in the application of data science methods.
  • You have a good command of written and spoken English.
WE OFFER:
  • You have the chance to experience the diversity of AVL and to be a part of the future of mobility.
  • According to your schedule, you will have the possibility to adjust your working hours flexibly and if possible and required home office is also an option for us.
  • We offer you the opportunity to participate in internal training programs.
  • In our company canteen, you can enjoy fresh meals that change daily.
  • Our headquarters


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