Lead Software Engineer - Big Data Infrastructure

Disney Entertainment & ESPN Product & Technology

On any given day at Disney Entertainment & 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 Product &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 Our Team

The Big Data Infrastructure team manages big data services such as Hadoop, Spark, Flink, Presto, Hive, etc. Our services are distributed across the data center and Cloud, supporting a large scale of data amount and thousands of physical resources. We focus on the virtualization of big data environments, cost efficiency, resiliency, and performance.  

The right person for this role should have proven experience with working in mission-critical infrastructure and enjoy building and maintaining large-scale data systems with the challenge of varied requirements and large storage capabilities. If you are someone who enjoys building large-scale big data infrastructure, then this is a great role for you

Responsibilities

• Develop, scale, and improve in-house/cloud and open-source large-scale data processing engines or framework systems (e.g. Spark, Flink, Presto/Trino, etc).

• Investigate new big data technology, and apply it to the DisneyStreaming production environment.

• Build next-gen cloud-based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability

• Handle architectural and design considerations such as performance, scalability, reusability, and flexibility issues.

• Advocate engineering best practices, including the use of design patterns, code review, and automated unit/functional testing.

• Work together with other engineering teams to influence them on big data system design and optimization.

• Define and lead the adoption of best practices and processes. Collaborate with senior internal team members and external stakeholders to gather requirements and drive implementation

• Collaborate efficiently with Product Managers and other developers to build datastores as a service.

• Collaborate with senior internal team members and external stakeholders to gather requirements and drive implementation.

Basic Qualifications

• At least 7 years of professional programming and design experience

• Bigdata-related components (e.g. HDFS, HBase, Yarn, Hive, Spark, Flink, Presto, Impala, Terraform, EKS, Spinnaker, IAM, EMR, and etc)

• Experience in building in-house big data infrastructure.

• Experience in developing and optimizing ETL and ad-hoc query engines (e.g. Spark, Flink, Hive, Presto/Trino, GreenPlum)

• Experience in CICD, fine-tuned metrics, security and compliance enhancement on compute engines

• Experience in latest data format (Iceberg, Delta, Hudi)

Preferred Qualifications

• Experience in catalog and metadata management would be a plus

• Experience in developing and optimizing Hadoop-related and containerized technologies would be a plus (e.g. HDFS, HBase, Yarn, Kubernetes, docker, RocksDB)

• Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, IAM, ELB, Ranger, KMS, S3, Glue etc

• Experience in managing a big data cluster with over 1000 nodes.

Required Education

• Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Additional Information

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