Senior Data Engineer

Job Posting Title:

Senior Data Engineer

Req ID:

10132409

Job Description:

Disney Entertainment and ESPN Product & Technology

On any given day at Disney Entertainment and ESPN Product & Technology (DEEP&T), we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.

• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

About The Role

The Data Foundations Platform and Governance Engineering  team within the Commerce, Data, and Identity organization within the larger Disney Entertainment and ESPN Product and Technology organization is in search of a Senior Data Engineer.  The role of this Senior Engineer will focus on privacy solutions and data subject rights automation, working cross-functionally with analytics, data architecture, legal and security partners to build scalable solutions to solve complex privacy related challenges. You’ll get to understand the challenges of how data is being used at Disney’s world-class streaming services while pushing the boundaries of what is possible using the latest technologies available in AWS, Databricks, and beyond.

Responsibilities

• Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.

• Maintain data engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation

• Evangelize and evolve the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption

• Build out a robust observability, alerting, logging, and system control plane that allows easy diagnosis of any issues across all our data pipelines.

• Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs

• Maintain detailed documentation of your work and changes to support data quality and data governance requirements

• Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team

• Be a part of the magic: Collaborate with product managers, architects, and other engineers to drive the success of the Foundational Platform

Basic Qualifications

• 5+ years of data engineering experience in software engineering in the data space
• Strong algorithmic problem-solving expertise
• Strong fundamental Scala and Python software programming skills
• Good understanding of AWS or other cloud provider resources (S3)
• Strong SQL skills and ability to creatively problem solve and dive deep into our data and software ecosystem
• Hands-on production environment experience with distributed processing systems such as Apache Spark
• Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines
• Scripting language experience (Bash, PowerShell)
• Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go
• SQL, Python, Scala, other computer software languages
• Willingness and ability to learn and pick up new skillsets
• Self-starting proble