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Key skills for this role
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.
Proficiency in Python , SQL & PySpark/Spark
Experience building and maintaining production-grade data pipelines
Strong understanding of data modeling, schema design, and data integrity principles
Experience with Databricks, Delta Lake, and distributed data processing systems or something similar
Experience designing scalable, reusable, and maintainable software components
Strong knowledge of unit testing, integration testing, and data validation techniques
Experience implementing monitoring, alerting, and operational observability
Familiarity with CI/CD pipelines, code review practices, and deployment workflows
Understanding of secure coding practices, secrets management, and static analysis remediation
Strong debugging, troubleshooting, and root-cause analysis skills
Deliver production-ready, maintainable, and scalable solutions with minimal supervision
Ensure correctness and integrity of data transformations and downstream processing
Perform comprehensive self-review and validation before requesting peer review
Reuse existing shared utilities and platform standards wherever applicable
Skip the repetitive application forms
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Design solutions with long-term scalability, maintainability, and operational support in mind
Validate positive, negative, and edge-case scenarios through automated and manual testing
Ensure monitoring, alerting, and operational readiness are fully validated prior to deployment
Demonstrate end-to-end ownership, including deployment verification and operational follow-through
Maintain clean, modular, and well-structured code with minimal duplication
Proactively identify production risks and implement preventive safeguards
Address review feedback completely and thoughtfully before resubmission
Contribute to engineering best practices, standardization, and reusable platform patterns
Bachelor's degree in computer science, Engineering, or related field
5-8 Years of experience in software engineering or data engineering
Hands-on experience with Python and Spark/PySpark
Experience working with Databricks or similar distributed data platforms
Experience building and supporting production-grade ETL/data ingestion pipelines
Strong understanding of data validation, schema management, and transformation logic
Experience implementing unit tests and integration tests for data applications
Experience with monitoring, logging, alerting, and operational support processes
Familiarity with Git workflows, code reviews, and CI/CD practices
Strong understanding of software engineering fundamentals and clean code principles
A Great Place to work.
Equal opportunity employer
Fast track growth opportunities
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.
If you’re 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.
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Full-time
Senior · 5+ years experience
Hybrid
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