Data Engineer II

Description :

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 Medias premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

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|

Data Engineer II :

- 3-5 years of experience in Data Engineering or Software Engineering with strong expertise in Python/Scala/Java and SQL for building scalable data applications.

- Hands-on experience in developing batch and real-time data pipelines using Spark/PySpark, distributed processing frameworks, and event-driven architectures.

- Strong experience with AWS cloud services and Databricks, including S3, EMR, Glue, Delta Lake, and cloud-based data lake/lakehouse platforms.

- Solid understanding of ETL/ELT processes, data modeling, data warehousing concepts, and big data architecture for large-scale analytics systems.

- Experience working with streaming technologies such as Kafka/Kinesis and building high-performance data ingestion and processing solutions.

- Exposure to modern AI/ML-driven data engineering use cases including embeddings, vector search, inference pipelines, RAG, and intelligent data enrichment workflows.

- Practical knowledge of CI/CD pipelines, GitHub Actions, API development, automation frameworks, monitoring, observability, and production support environments.

- Strong analytical, troubleshooting, and stakeholder collaboration skills with the ability to optimize cloud cost, improve platform reliability, and support 24x7 data operations.

What To Bring :

- Masters or Bachelors degree in computer science or similar discipline

- 3-5 years of experience in software engineering and/or data engineering

- Ability and willingness to learn new technologies and apply them at work to stay ahead of the curve.

- Proficient in at least a few programming languages Python/ Scala/Java and SQL

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

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

- Databricks & Cloud (AWS) experience is preferred

- Experience building solutions with one or more of the following AI/ML concepts : classification/inference/embedding models, agents, RAG, vector search is a plus.

- Excellent verbal and written communication skills

- Strong critical/analytical thinking and problem-solving skills

- Must be a self-starter.

What We Offer :

- A Great Place to work.

- Equal opportunity employer

- Fast-track growth opportunities.