Responsibilities
- Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs
- Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability
- Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test
- Chip in ground-breaking innovation and apply the state-of-the-art technologies
- As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing
- Collaborate with team to develop software architectures which are robust, fault-tolerant, and cloud-native
- Possess AWS managed service solution design and implementation experience
- Reason logically and creatively, identifying problems, drawing valid conclusions from the data available, and develop effective solutions while applying creative thinking in the design and development of high performing data applications
- Collaborate with fellow engineers to keep the team’s technology radar and architecture principles aligned to the industry and needs of our users
- Deliver multiple projects utilizing an Agile methodology
- Take a high ownership, self-sufficient, hands-on position on the team to collaborate and drive quality, maintain application stability
- Write complex programs, analyze code changes and suggest improvements
- Check-in valuable, clean code on a daily basis that adds new features and capabilities
- Investigate and resolve any production issues from end user to persistence layer and work to prevent them
- Work with leads, product managers and managers to ensure that all project deliverables are on time and high quality
- Work collaboratively with other service teams
Requirements
- Hold a Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, or another technical field
- Have 3+ years of experience in big data application development in a large enterprise environment using Java, Scala, Python, including familiarity with modern frameworks and platforms (e.g., Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies)
- Be able to demonstrate experience working with relational databases, SQL and newer NoSQL data stores as well as event streaming platforms
- Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, etc.
- Have a strong interest in open source technology
- Knowledge of building highly available and scalable services
- Passion about technologies and openness to interdisciplinary work
- Possess good communication skills and enjoy helping others to succeed as a team
- Care about your craft and have opinions about the “right” way to do things with technology
Nice to Have
- Master's degree in Computer Science, Software Engineering or related technical discipline is desirable
- Previous work experience in advertising industry-based applications
- Experience with Databricks, Snowflake, Presto, Kinesis
- Experience working with vendor teams to deliver high quality results
- Knowledge of performance testing and application profiling
- Strong curiosity about how Disney delivers the Magic and a desire to be a part of it
Team
Structure: Dynamic, cross-domain team delivering end-to-end solutions across diverse technical areas, including machine learning, big data, microservices, and data visualization.
Additional Information
- While The Walt Disney Company is a large company, ideally, we’d like it if you have some previous experience in a startup environment and are comfortable performing multiple roles.
- We strive to get things done quickly, with high quality, and we are committed to the agile methodology.
- Our work is guided by lean principles (looking at value and looking for waste; not doing anything ‘for the sake of doing it’).
