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Python Data Engineer

Python Data Engineer

Legitary GmbHVienna, Austria
Vor 30+ Tagen
Anstellungsart
  • Quick Apply
Stellenbeschreibung

Legitary GmbH is an award-winning AI startup – we offer audit and valuation services to ensure artists and music right holders receive fair and accurate streaming royalties. As a Python Data Engineer at Legitary, you will structure, normalize and analyze large-scale client datasets to generate clear, data-driven insights that help our clients understand and optimize their streaming revenues.

Tasks

  • Normalize large data sets (at TB scale & beyond) of music streaming usage data from heterogenous data sources
  • Run data analyses with internal ML apps
  • Perform data exploration on large data sets & be able to generate new insights from the data
  • Report insights to clients & stakeholders
  • Design new product features based on customer requirements

Requirements

  • Degree in mathematics, statistics, informatics or elated fields
  • Industry experience (Python & SQL) with a proven track record of data engineering projects
  • Hands-on experience in data wrangling and manipulation
  • Strong communication skills for reporting results to technical & non-technical audiences
  • A glimpse into our Tech Stack : Dask, Plotly & Dash, SQL, BigQuery, Kubernetes, Gitlab
  • Benefits

  • International career opportunities
  • Dealing with top-tier music industry professionals
  • Working on the interface of latest ML development
  • Creative leeway for your ideas & their implementation
  • Join Legitary as a Python Data Engineer and innovate the music industry with AI. Make an impact in a dynamic startup environment in Vienna. Apply now and transform music streaming!

    Legitary is an award-winning music-tech startup powering the monetization of music IP. With our patented AI tools we revolutionize streaming auditing & music IP valuation for music labels, publishers, artists and M&A companies.

    Join our mission to bring fairness & transparency to the world of music streaming, leveraging the power of advanced AI technology.

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    Data Engineer Data • Vienna, Austria