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Data Engineer II- Data Analytics Team, Hyderabad

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Warner Bros. Discovery logoWarner Bros. Discovery · Hyderabad - Phoenix Equinox Tower 2
Full-timeOn-site2w ago
AWSCI/CDClassificationETLGitHubGitHub Actions
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Benefits

A Great Place to work .Equal opportunity employerFast-track growth opportunities.How We Get Things Done...Championing Inclusion at WBDIf you're a qualified candidate with a disability and you require adjustments or accomVision insurance

Additional Information

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. Data Engineer I I - Data Analytics Team ( Hyd e rabad, 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 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 & 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 We are looking for a highly motivated Data Engineer to build reliable and scalable engineering solution that empowers various use cases such as data enrichment, classifications and deep analytics . You will be building a solution in the cloud - handles both streaming and batch data processing, capable of solving big data initiatives by applying state-of-the-art AI technology. Build scalable software across our data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies. Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Work closely with data scientists, data analysts and business stake holders to make data easily accessible and understandable to them. Develop and enforce data engineering, security, data quality standards through automation and applied AI. Participate in supporting platform 24X7. Be responsible for cloud cost and improving efficiency. What To Bring Master's or Bachelor's degree in computer science or similar discipline 3-5 years of experience in software engineering and/or data engineering Ability and willingness to learn new technologies and apply them at work to stay ahead of the curve. Proficient in at least a few programming languages - Python / Scala / Java and SQL Strong understanding of data modelling, ETL best practices, and big data architecture. Practical knowledge with CI/CD pipelines, preferably GitHub Actions Workflows. Databricks & Cloud (AWS) experience is preferred Experience building solutions with one or more of the following AI/ML concepts: classification/ inference/embedding models, agents, RAG, vector search is a plus. Excellent verbal and written communication skills Strong critical/analytical thinking and problem-solving skills Must be a self - starter.


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