Senior Data Engineer (Data Analytics),Hyderabad

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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. Senior Data Engineer - (Data Analytics Team) 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 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: As a Sr Data Engineer, you will build a state-of-the-art data platform to solve various data-driven use cases across the organization. This platform will host multiple data products, including but not limited to, Theatrical, Home Entertainment, and Marketing enablement. You will be building a solution in the cloud - handling both streaming and batch data processing, capable of solving any big data initiatives in scope now or in the future. You're an engineer who not only understands how to use data to answer complex business questions but also how to design resilient reusable pipelines and data objects to best support business intelligence, data science, and self-service analytics. You will manage projects from requirements gathering to implementation of data solutions. You will work closely with cross-functional partners to ensure that business logic is properly represented in the data platform, where it can be used by the wider analytics team to drive business insights and strategy. Mentor and provide technical guidance to junior data engineers in the team. Build software across our entire cutting-edge 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 analysts and business stake holders to make data easily accessible and understandable to them. Ensure data quality by implementing re-usable data quality frameworks. Develop and enforce data engineering, security, data quality standards through automation. Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage. Participate in the creation and support of data engineering standards and best practices. Create systematic solutions for solving data pipeline performance issues: identifying, alerting, and root cause analysis. What to Bring : Bachelor's degree in computer science or similar discipline 6+ years of experience in data engineering Ability and willingness to learn new technologies and apply them at work to stay ahead of the curve. Experience with general-purpose programming (e.g. Python, Scala or other) dealing with a variety of data structures, algorithms, and serialization formats Expertise in distributed data processing frameworks such as Apache Spark, Flink or similar. Experience in working with Data platforms like Databricks, snowflake or big query is a must. Expertise in building and managing large volume data processing (both streaming and batch) platform is a must. Strong expertise in data analysis using SQL, with a focus on writing optimized queries to support scalable data pipelines Expertise in OLAP databases such as Snowflake or Redshift. Experience with variety of data Tools & frameworks (example: Apache Airflow, Druid) will be a huge plus. Expert with CI/CD pipelines, preferably Gi

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