Staff Data Engineer

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.

Role : Staff Software Engineer : Data Engineering (Adtech Team) Bangalore

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.

Meet our team :

The Ad Tech group works on building state-of-the-art Ad technology platforms and services that power the Discovery + and other digital services offered by Warner Bros.

Discovery globally. We focus on all aspects of streaming video: live and VOD pipelines, metadata transformation, ad tech, server-side ad insertion, CDN integrations, playback services, video player backends, and AI/ML-based personalization.

What You'll Do :

You will play a critical role in expanding and optimizing our data platform and reporting capabilities. You will work on the development of a scalable, high-impact, high volume data systems powering reporting and analytics for our advertising business.

This is a multi-faceted role requiring expertise in backend service development, streaming and batch processing, and operational excellence.

Your responsibilities will include :

- Design architecture and development of high-scale data pipelines and backend services for data processing and storage

- Work closely with product teams to understand data needs and translate them into reliable, performant systems.

- Design and implement batch and real-time processing pipelines using modern big data tools (e.g., Spark, Flink, Kafka, Airflow).

- Drive data modeling best practices to ensure consistent, extensible data definitions across the organization.

- Ensure data quality, correctness, and completeness through robust monitoring, validation, and testing strategies.

- Mentor junior engineers, foster engineering excellence, and help shape technical direction across the broader organization.

- Partner with infrastructure and platform teams to ensure systems are cost-efficient, observable, and resilient at scale.

- Develop and enforce data engineering, security, data quality standards through automation.

- Participate in supporting platform 24X7.

- Be passionate about growing a team - hire and mentor engineers

What to Bring :

- Bachelor's degree in computer science or similar discipline

years of experience in software engineering, with a strong background in data-intensive systems

- Deep experience with distributed data processing frameworks (e.g., Apache Spark, Beam, Flink).

- Proficiency in one or more programming languages such as Java, Python, or Go.

- Strong understanding of data modelling, ETL best practices, and big data architecture.

- Experience building reporting pipelines or systems that support forecasting, attribution, reach/frequency, or audience measurement.

- Exposure to ML-based forecasting systems or time-series modelling.

- Expertise in building and managing large volume stream or batch processing platform is a must.

- Experience working with data warehousing solutions like Databricks.

- Practical knowledge of with CI/CD pipelines, preferably GitHub Actions Workflows.

- Experience with Microservice Architecture principles and implementations.

- Practical knowledge of containerization and orchestration platforms like Docker and EKS.

- Experience with cloud services, especially AWS, is highly desirable.

- Strong interpersonal, communication and presentation skills.