Data Engineer II
Hyderabad, Office Level 3 & 4, Block A - East Wing
Warner Bros. Discovery
Warner Bros. Discovery offers exciting and rewarding career opportunities across a multitude of disciplines. Join us as we step into the next chapter.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.
Data Engineer II
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 Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. This team will support studios, sports, news and corporate as well.
Roles & Responsibilities:
As an Data Engineer II here you are passionate about using software-based approaches to solve complex data-driven challenges and automate those solutions. Within our organization, you’ll lead efforts aimed at scaling our existing data offerings and establish the technical strategy for how we can better equip engineers and leaders with Data Platform. You’ll build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data, and cloud knowledge, to optimize and evolve how we understand our technical ecosystem.
To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing infrastructure-as-code, data lake management, AI/ML Knowledge, and Analytics. In addition, you’ll have strong systems knowledge and troubleshooting abilities.
Your Role Accountabilities:
Build data pipelines across our entire cutting-edge data platform, including event driven and batch data processing, storage, and serving through various data integration techniques such as APIs, Lambda, File Feeds etc.
Work closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically.
Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.
Ensure data quality by implementing re-usable data quality frameworks.
Work closely with various other data engineering teams to roll out new capabilities.
Mentoring Data Engineers
Work closely with AI/ML team to operationalize and utilize models for business needs.
Develop and enforce data engineering, security, data quality standards through automation.
Participate in on-call rotations
What you’ll Need
Bachelor’s degree in computer science or similar discipline.
2+ years of experience in software and data engineering
Ability and willingness to learn any modern technologies and apply them at work to stay ahead of the curve.
Expertise in at least a few programming languages - Java, Scala, Python or similar.
Expertise in building and managing large volume data processing (both streaming and batch) platform is a must.
Expertise with cloud data warehouses, such as Databricks, Snowflake or Redshift.
Expertise in SQL, Spark SQL, Hive etc.
Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar
Expertise in building micro services and managing containerized deployments, preferably using Kubernetes.
Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar.
Cloud (AWS) experience is preferred.
Preferred Experience:
Experience with Terraform, GitActions is plus.
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
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin@wbd.com.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Computer Science Databricks Data pipelines Data quality DevOps Engineering Flink Java Kafka Kinesis Kubernetes Lambda Machine Learning Pipelines Pulsar Python Redshift Scala Security Snowflake Spark SQL Streaming Terraform
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