Jobs at Walt Disney Company

Position: Data Engineer at Walt Dinsey Company ( also known as the Walt Disney productions or The Walt Disney Studio)

About the Walt Disney Company

The Walt Disney Company is an American diversified multinational mass media and entertainment conglomerate company with headquarter in  Walt Disney Studios in Burbank, California. The company is widely known as a leader in the American animation industry before diversifying into live-action film production, television, and theme parks.

Duties and responsibilities

• Proficient understanding of distributed computing principles.
• Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop.
• Experience with various messaging systems, such as Kafka or RabbitMQ.
• Good knowledge of Big Data querying tools, such as Pig or Hive.
• Good understanding of Lambda Architecture, along with its advantages and drawbacks.
• Experience with integration of data from multiple data sources. Similarly,  experience with scripting languages and automation of processes.
• Ability to solve any ongoing issues with operating the cluster.
• Proven track record of development accomplishments in a highly collaborative environment.
• Translate complex functional and technical requirements into detailed design.
• Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following.

Required skills and qualifications

• Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions.
• 2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation.
• 2-5 years of software development experience in Java, Javascript, SQL. Also, NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful).
• Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos.
• Experience with Artificial Intelligence and Machine Learning is a plus as well as with Code Management/CICD tools like GitHub, Jenkins is useful.
• Prior experience with automation is helpful.
• Prior experience working in a Linux/Unix environment is helpful. Also, experience working in an enterprise technology environment is helpful.