Staff Data Engineer

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. Your New Role: The Staff, Data Engineer is responsible for designing and delivering data pipelines that process billions of ad events daily across WBD’s global ecosystem. This role follows technical standards for distributed data engineering, drives modernization of legacy workflows into modular cloud-native systems, and ensures mission-critical data is delivered reliably, securely, and cost-efficiently for monetization and decisioning. Your Role Accountabilities: High-Scale Data Pipeline Engineering • Design and maintain ingestion, ETL, and activation pipelines supporting real-time and batch processing of multi-billion event datasets. • Optimize data workflows for latency, reliability, and scalability in cloud native environments. Platform Modernization & Lakehouse Development • Modernize legacy ad-tech systems into open, lakehouse-based architectures (Iceberg, Delta, Hudi) for unified analytics and monetization. • Embed observability, data lineage, and automation frameworks to reduce technical debt and improve resiliency. Cross-Functional Data Delivery • Partner with Data Science to operationalize ML models for forecasting, optimization, and personalization. • Ensure downstream data delivery into ad servers, identity systems, and activation platforms is low-late

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