Staff Software Engineer - Data Engineering (Adtech Team) Bangalore

Welcome 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. Here you are supported here you are celebrated here you can thrive.

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 worlds 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 Discoverys leading non-fiction and international entertainment and sports businesses.

For more information please visit .

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 Youll 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:

Bachelors degree in computer science or similar discipline

11 - 15 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.

What We Offer:

A Great Place to work.

Equal opportunity employer.

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 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 youre 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.