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 and 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 engineering

Hands-on experience with Python and Spark/PySpark

Experience working with Databricks or similar distributed data platforms

Experience building and supporting production-grade ETL/data ingestion pipelines

Strong understanding of data validation, schema management, and transformation logic

Experience implementing unit tests and integration tests for data applications

Experience with monitoring, logging, alerting, and operational support processes

Familiarity with Git workflows, code reviews, and CI/CD practices

Strong understanding of software engineering fundamentals and clean code principles

What We Offer:

A Great Place to work.

Fast track growth opportunities

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.