Senior Analytics Engineer

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.

Senior Software Engineer GVP 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 Warner Bros Discoverys leading non-fiction and international entertainment and sports businesses.

For more information please visit

Meet Our Team:

The Video Playback organizations mission is to provide global self-service multi-tenant turn key solutions for all WBD Streaming brands both at Server and Client side across Live linear Live event & VOD stream types and wide array of device platforms serving all customers with seamless & smooth playback experience.

OurmissionistofosterunifiedQoE analytics and drive data driven use cases by leveraging a robust multitenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze the video playback experience. We are obsessed with customer first mindset and providing them the excellent playback experience.

Roles & Responsibilities:

As a Senior Software Engineer you will design and build scalable data platforms pipelines semantic layers and analytics solutions that enable data-driven decision-making. You will own the full lifecycle of data productsfrom requirements gathering and architecture design to implementation deployment and visualization. Working closely with business stakeholders Product Analytics and cross-functional engineering teams you will ensure business logic is accurately modeled and represented in production-ready datasets and semantic layers that support self-service analytics actionable insights and strategic business outcomes.

• You will partner closely with business stakeholders product teams and engineering teams to understand reporting analytics and data platform requirements translating business needs into scalable technical solutions.

• You will design develop and maintain reports dashboards and data products leveraging multiple data sources including Snowflake Oracle PostgreSQL and other enterprise systems.

• You will create scalable data models semantic layers and reporting architectures that enable accurate reliable and self-service analytics across the organization.

• Develop technical designs data flow diagrams system architecture documentation and process workflows to clearly communicate solutions to engineering teams stakeholders and data providers.

• Build intuitive visually compelling and user-friendly dashboards and interfaces that transform complex datasets into actionable business insights.

• Collaborate with cross-functional teams throughout the software development lifecycle from requirements gathering and solution design to implementation testing deployment and support.

• Present and articulate technical designs architectural decisions and implementation approaches incorporating feedback to align with engineering standards best practices and business objectives.

• Contribute to engineering excellence by promoting coding standards design best practices documentation quality and continuous improvement through peer reviews and technical mentorship.

• Design and optimize SQL queries data pipelines and reporting workloads to ensure performance scalability reliability and cost efficiency.

• Troubleshoot and resolve production issues by performing root cause analysis across applications databases reports and data pipelines ensuring minimal business disruption.

• Drive automation and operational improvements to enhance platform reliability developer productivity and overall user experience.

• Participate in on-call rotations and provide timely support for critical production incidents ensuring adherence to service-level objectives and operational excellence.

What to Bring:

• Bachelors or Masters degree in Computer Science Data Science Engineering Mathematics Statistics.

• 58 years of experience in Analytics Engineering Data Engineering Business Intelligence Data Platform Engineering or related domains.

• Strong understanding of data modeling dimensional modeling and semantic layer design principles.

• Sound exposure of architecting scaling and operating enterprise-grade data platforms including real-time streaming pipelines data lakes data warehouses and self-service analytics ecosystems.

• Advanced proficiency in SQL for complex querying data transformation performance tuning and analytics.

• Experience working with enterprise databases and cloud data platforms such as Oracle PostgreSQL Mongo and Snowflake.

• Sound proficiency in semantic modeling business intelligence and analytics enablement using tools such as Looker Tableau or equivalent BI platforms.

• Strong programming expertise in Python and/or Go with sound knowledge of distributed systems data structures algorithms APIs and data serialization formats.

• Exposure of Generative AI and LLM-based solutions for data platform building and analytics optimization.

• Experience working with cloud storage and data services such as AWS S3 and/or Google Cloud Platform (GCP).

• Experience in cloud-native infrastructure containerization and Infrastructure-as-Code (IaC) using AWS/GCP Docker Kubernetes and Terraform.

• Experience in Media Entertainment Streaming or Media Technology domains is preferred.

• Proven experience working within Agile development environments and collaborating effectively with distributed cross-functional teams.

• Strong communication and stakeholder management skills with the ability to translate business requirements into scalable analytics solutions.

• Demonstrated ability to solve complex business problems through simple efficient and maintainable technical solutions.

• Commitment to delivering high-quality well-documented solutions with a focus on performance scalability and continuous improvement.

Characteristics & Traits

• Naturally inquisitive critical thinker proactive problem-solver and detail-oriented.

• Positive attitude and an open mind

• Strong organizational skills with the ability to act independently andresponsibly

• Self-starter comfortable initiating projects from design to execution with minimal supervision

• Team player and relationship builder

What We Offer:

• A Great Place to work.

• Equal opportunity employer

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.