Forward Deployed Engineer, Data & AI

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Logo of Warner Music Group

Warner Music Group

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.

📋 Description

• Partner with the Product Solutions team and key business stakeholders across Warner Music Group • Rapidly build and deploy automation and data- and AI-powered solutions • Work directly with business stakeholders across labels and global functions • Turn painful, time-consuming tasks into workflows that take minutes • Deliver full-stack solutions, including data pipelining and interoperability • Develop backend systems in Python • Develop dashboards and Streamlit applications • Leverage Databricks and Snowflake AI tools, including Genie and Cortex • Understand stakeholder problems and deliver impactful solutions with limited context • Communicate with and manage expectations of non-technical customers • Keep customers informed throughout solution delivery • Explore and apply new technologies across varied domains • Contribute to standards and use existing tools and systems aligned with the engineering roadmap

🎯 Requirements

• At least 3 years of software engineering experience • Experience with Python • Experience with data pipelining, such as ETL • Experience with Snowflake and/or Databricks; one is sufficient • Exposure to customers • Ideally, experience with Genie Code or Cortex Code, Notebooks, and Streamlit • Ability to work across backend, frontend, data pipelines, and AI tools • Ability to use AI effectively while maintaining excellent engineering standards • Ability to design, build, and deploy production AI solutions • Ability to rapidly understand problems and develop solutions without curated requirements • Strong communication skills with non-technical stakeholders from entry to executive level • Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code • Adaptability across varied problems and domains • Ability to contribute to standards and align solutions with the Data and Insights engineering roadmap • Passion for learning and feedback • Music fan motivated by supporting artists’ careers and compensation

🏖️ Benefits

• Equal opportunity and inclusion-focused workplace • Opportunity to work with a global music company • Work with world-class data platforms and AI tools • Exposure to diverse business stakeholders, labels, and global functions

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