Welcome to Warner Bros. Discovery the stuff dreams are made of.Who We AreWhen we say, the stuff dreams are made of, were not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBDs 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 whats nextFrom 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.Principal Analytics Engineer - Hyderabad, India.About Warner Bros. Discovery:Warner Bros. Discovery, a premier global media and entertainment company, offers 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 Medias premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.For more information, please visit .Meet our team:The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.Roles & Responsibilities:As a Principal Analytics Engineer, you will champion overall data and analytics strategy across for various streaming and non-streaming data domains including but not limited to commerce, product, content analytics. You will bring in your expertise in a wide variety of big data processing frameworks, large scale database systems, stream data processing data mart development, BI/Analytics, API Development, to improve data architecture and data product development efficiency.
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