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Originele vacaturetekst

Internship in Data Engineering for Signal Processing Applications

  • We seek intern for the development of cloud technology backends and algorithms for data collected from consumer devices with sensors in applications such as gesture detection, step counters, air quality monitoring and activity recognition. Many future use cases will rely on analytics methods operating on a fusion of time series of a variety signals.
  • Create something new and develop data collection pipelines and processing techniques for sensors, ranging from data creation stages close to sensors, to on-device pre-processing, to data upload, management, and processing in cloud environments. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using NoSQL and Microsoft Azure Big Data technologies. Help advance metadata management, automated annotation and retrieval, definitions of APIs for various purposes.
  • Help shape the future and contribute to our data engineering roadmap, find new use cases and applications, generate patents
  • Be an active part of your agile team and contribute to the success of our products.
  • Present the solutions and software systems that you develop, support integration and engage with the broader community by actively contributing to user forums.
  • Education: technical degree (Bachelor’s / Master’s) in computer science, electrical engineering or math, science, technology related programs
  • Personality and Working Practice: innovative and open-minded, entrepreneurial, customer-oriented, keen to create something new as part of international teams, analytical, structured, and result-oriented
  • Experience and Knowledge: proficient in programming languages such as Python and experience with various Python libraries such as Pandas, Numpy, Dask, SciPy is required, experience in cloud technologies and environments, signal processing, algorithm development and web service development is a plus, knowledge in popular cloud providers, knowledge of container techniques, infrastructure as code, tools for capturing, labeling and processing data, knowledge in databases (SQL), distributed file systems (HDF) and data workflow management tools for building complex data pipelines is good to have, programming experience in Python, Java, Scala or C++ and additional machine learning knowledge is a plus
  • Languages: proficient English language skills, German is a plus
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