
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.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

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 the Product Solutions team and business stakeholders across Warner Music Group • Rapidly build and deploy automation and data/AI solutions • Work directly with stakeholders across labels and global functions • Translate stakeholder pain points into efficient AI-enabled workflows • Deliver full-stack solutions including data pipelining and interoperability, Python backend development, dashboards, and Streamlit applications • Leverage Databricks and Snowflake AI tools such as Genie and Cortex • Understand problem spaces quickly and develop solutions without curated requirements • Communicate with non-technical stakeholders from entry level through executives and manage expectations • Explore new technologies and solve varied problems across domains • Contribute to engineering standards and align solutions with the Data and Insights engineering roadmap
• At least 3 years of software engineering experience • Experience working with customers • Experience with Python • Experience with data pipelining, such as ETL • Experience with Snowflake and/or Databricks; one is sufficient • Ideally, exposure to Genie Code or Cortex Code, Notebooks, and Streamlit • Ability to use AI tools to design, build, and deploy production solutions • Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code • Ability to work across backend, frontend, data pipelines, AI tools, Python, and React • Ability to rapidly understand problems and deliver solutions without curated requirements • Ability to communicate in non-technical language with stakeholders from entry level to executive level • Passion for learning and feedback • Music fan motivated by impact on artists’ careers and compensation
• Equal opportunity and inclusive workplace commitment • Opportunity to work with world-class data platforms and AI tools • Work with a global music company and diverse community of artists, songwriters, partners, and fans
Apply Now🕒 May 22
Senior Software Engineer specializing in JVM frameworks at ClickHouse. Contributing to data engineering ecosystem and building scalable data integrations for real-time analytics.
Apache
ETL
Java
Kafka
Spark
SQL
TCP/IP
🕒 April 1
Senior Data Engineer designing scalable data pipelines using Spark for TLVTech. Collaborative role implementing Lakehouse architecture and optimizing data processing workflows.
Apache
AWS
Azure
Cloud
ETL
Google Cloud Platform
Hadoop
Java
Python
Scala
Spark
SQL