Data Engineer
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Philips Research and the Philips Lighting business rely more and more on data. Data management, data visualization and data analytics & engineering techniques are playing an important role in the current Philips products and services and more so in the future, potentially with your contributions!
The phases in data lifecycle management include data acquisition, data cleaning, integration, analysis, interpretation and visualization. You, as a candidate, are knowledgeable and experienced with the different engineering infrastructures, tools and applications that support the phases.
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