Warner Bros. Discovery

Description : to Warner Bros.Discovery the stuff dreams are made of.Who We Are :When 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 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.Role : Senior Analytics Engineer 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.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 & Responsibilities :We are seeking a highly motivated Senior Analytics Engineer to design and scale a robust analytics platform that delivers impactful insights across key domains, such as Subscription, Growth, Identity, Retention, Content, and Product Analytics.As a Staff Analytics Engineer, you will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining a reliable and scalable analytics data infrastructure.Your work will directly support analysts, data scientists, and business stakeholders by ensuring data pipelines, models, and metrics are efficient, accurate, and accessible.This role is critical to driving a data-driven culture and enabling teams to make informed decisions.- Architect and manage data pipelines using Databricks notebooks and Apache Spark, focusing on performance and efficiency.- Troubleshoot and optimize Spark applications for handling large, complex datasets.- Develop robust data transformations, data integrations, and automation scripts in SQL and Python.- Implement best practices for code modularity, testing, and deployment within the analytics ecosystem.- Work closely with Data Engineers, Analysts, and other stakeholders to understand data needs and deliver effective solutions.- Provide clear documentation and training to ensure best practices are followed across the organization.- Partner with cross-functional teams to understand evolving data needs and propose innovative solutions.- Contribute to a culture of continuous improvement by evaluating and implementing emerging technologies and approaches.What to Bring :- Bachelors degree in computer science, business analytics or similar discipline.- 5-7+ years of experience in analytics engineering, data engineering, or a related field.- Proficiency in SQL, Spark and ETL/ELT tools (e., dbt, Airflow).- Strong Python (or similar) scripting skills for automation and data manipulation.- Hands-on experience with Databricks and Apache Spark, including Spark tuning and cluster management.- Strong analytical and problem-solving abilities to address complex data challenges.- Excellent communication skills to work with both technical and non-technical stakeholders. (ref:hirist.tech)