Senior Software Engineer- Data Engineering (Commerce Team) , Hyderabad

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 Software Engineer- Data Engineering (Commerce Team) , Hyderabad 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 Commerce group is part of the Core & Data organization within WBD’s Global Tech division. Our services handle all aspects of monetizing our streaming services. This includes everything from managing products, pricing, and promotions; selling subscriptions and pay-per-view events; integration with 3rd party providers for global and local payment methods; handling taxes, fraud, financial reporting, and much, much more. We provide the backend APIs that power all our clients, and our teams own design, build, maintain, and are responsible to both deploy and operate our services. The group is currently based in US, Sweden, and Poland and is now expanding in India. Roles & Responsibilities:  Proficiency in Python , SQL &  PySpark/Spark  Experience building and maintaining production-grade data pipelines  Strong understanding of data modeling, schema design, and data integrity principles  Experience with Databricks, Delta Lake, and distributed data processing systems or something similar  Experience designing scalable, reusable, and maintainable software components  Strong knowledge of unit testing, integration testing, and data validation techniques  Experience implementing monitoring, alerting, and operational observability  Familiarity with CI/CD pipelines, code review practices, and deployment workflows  Understanding of secure coding practices, secrets management, and static analysis remediation  Strong debugging, troubleshooting, and root-cause analysis skills Deliver production-ready, maintainable, and scalable solutions with minimal supervision  Ensure correctness and integrity of data transformations and downstream processing  Perform comprehensive self-review and validation before requesting peer review  Reuse existing shared utilities and platform standards wherever applicable  Design solutions with long-term scalability, maintainability, and operational support in mind  Validate positive, negative, and edge-case scenarios through automated and manual testing  Ensure monitoring, alerting, and operational readiness are fully validated prior to deployment  Demonstrate end-to-end ownership, including deployment verification and operational follow-through  Maintain clean, modular, and well-structured code with minimal duplication  Proactively identify production risks and implement preventive safeguards  Address review feedback completely and thoughtfully before resubmission  Contribute to engineering best practices, standardization, and reusable platform patterns What to Bring: Bachelor's degree in computer science, Engineering, or related field  5-8 Years of experience in software engineering or data