Data Engineer I, Data Platforms at The Walt Disney Company
Sorry, this job was removed at 9:55 a.m. (CST) on Wednesday, January 19, 2022
Job Summary:We are looking for someone who…
Basic Qualifications:
Preferred Qualifications:
Required Education
- Has the curiosity to research and learn new technologies and skills and use recommended technical directions.
- Employs positive thinking and is able to work constructively in a team setting
- Is passionate about data engineering, core platform, big data and related technologies
- Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies. We operate in real-time with high-availability.
- Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
- Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
- Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
- Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Basic Qualifications:
- Have 1+ years of experience developing with a mix of languages (Java, Scala, Python, SQL, etc.) and frameworks to implement data ingest, processing, and serving technologies. Experience with real-time and very large scalable online systems are preferred
- Data and API experience –You are handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services
- Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Druid (or any other OLAP databases). You’ll have plenty of experience with developing in a cloud native environment with many different technologies
Preferred Qualifications:
- Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
- Passion and creativity – Are passionate about data, technology, & creative innovation
- Affinity for sports, entertainment or streaming
- Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
- Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes
- Experience in working with Data Scientists to operationalize machine learning models
- Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share
Required Education
- Bachelor’s Degree in Computer Science or related technical discipline or its equivalent
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