Sr. Staff Data Engineer

Job Description

Sr. Staff Data Engineer ( Data Platform)

Sr Staff Data Engineer - Hyderabad, India

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.

Roles & Responsibilities:

We are looking for a highly motivated Sr Staff Data Engineer to build a state-of-the-art data platform to solve various data-driven use cases across the organization. This platform will host various data products such as but not limited to, Subscription, Content, and Product Analytics, Personalization and Recommendation, Marketing & Ad-Sales enablement. You will be charged with building a new core data platform in the cloud - handles both streaming and batch data processing, capable of solving any big data initiatives in scope now or evolve in future as well. You will be helping data engineers, analysts, and scientists perform their functions by building highly scalable capabilities across the platform.

This individual will bring in his/her expertise in a wide variety of big data processing frameworks (both open source and proprietary), large scale database systems (OLAP and OLTP), stream data processing, API Development, Machine learning operationalization, and cloud automation to build and support all the data needs across our platform.
• Take lead role in translating various business requirements in to engineering architecture.
• Build software across our entire cutting-edge data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies.
• Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
• Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
• 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.
• Develop and enforce data engineering, security, data quality standards through automation.
• Participate in supporting the platform 24X7.
• Be passionate about growing team - hire and mentor engineers and analysts.
• Be responsible for cloud cost and improving efficiency.

What to Bring:
• Bachelor's degree in computer science or similar discipline
• 15+ years of experience in software engineering and/or data engineering
• Ability and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.
• Expertise in at least 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 in stream processing systems such as Kafka, Kinesis, Pulsar or Similar
• Expertise in distributed data processing frameworks such as Apache Spark, Flink or similar.
• Expertise in SQL and No-SQL – Apache Cassandra, DynamoDB, MySQL
• Expertise in OLAP databases such as Snowflake or Redshift.
• Experience in operationalizing and scaling machine models is a huge plus.
• Experience with variety of data Tools & frameworks (example: Apache Airflow, Druid) will be a huge plus.
• Experience with Analytics Tools such as Looker, Tableau is preferred.
• Cloud (AWS) experience is preferred
• Direct to consumer digital business experience is preferred
• Strong interpersonal, communication and presentation skills.

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.

Jobcode: Reference SBJ-r16j8e-3-133-119-247-42 in your application.