
1001 - 5000 employees
Founded 1920
📱 Media
💰 Post-IPO Debt on 2021-10
Media
Warner Music Group is a global music company that forms a collective of music creators and enthusiasts. The company is involved in recorded music, music publishing, and media brand development. Warner Music Group is dedicated to championing the individuality of artists and songwriters, empowering them through its iconic labels and distinctive brands. It hosts a wide variety of artists and is known for its commitment to creative freedom and limitless possibilities in the music industry.
🕒 April 30
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1001 - 5000 employees
Founded 1920
📱 Media
💰 Post-IPO Debt on 2021-10
Media
Warner Music Group is a global music company that forms a collective of music creators and enthusiasts. The company is involved in recorded music, music publishing, and media brand development. Warner Music Group is dedicated to championing the individuality of artists and songwriters, empowering them through its iconic labels and distinctive brands. It hosts a wide variety of artists and is known for its commitment to creative freedom and limitless possibilities in the music industry.
• Partner with Product Solutions team and business stakeholders to build and deploy automation using data and AI • Deliver rapid solutions leveraging data and AI • Full stack solution engineering including data pipelining and backend development in Python • Develop dashboards and Streamlit apps • Leverage Databricks and Snowflake AI tools such as Genie and Cortex
• 3+ years of software engineering experience • Experience with Python • Experience with data pipelining (e.g., ETL) • Exposure to customers • Experience with Snowflake and/or Databricks • Familiarity with Gemini, Cortex Code, and Genie Code • Knowledge of Notebooks and Streamlit
• In addition to base salary, this role is eligible for a performance based annual bonus.
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