Staff Software Engineer - Data & Audience Platform Team, Hyderabad
TT Games — Hyderabad - Phoenix Equinox Tower 2
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Software Engineer (Data & Audience Platform Team), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery is a premier global media and entertainment company, offering audiences the world's most differentiated and complete portfolio of content, brands, and franchises across television, film, streaming, and gaming. The new company combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Meet our Team The Data and Audience Platform team sits within the Data & Analytics organization in WBD's Global Tech division. We build the data platform behind our streaming services and content businesses - the pipelines, data lakes, and serving infrastructure that turn billions of events into audience insights, personalization, and intelligent products. We're growing our presence in India and looking for a Staff Engineer to help shape the next generation of our platform, where data engineering and applied AI come together. Role Overview As a Staff Engineer on the Data and Audience Platform, you'll set technical direction for the systems that power both our data and our intelligence layers. You'll work on core data p
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