Data Engineer for Large-Scale Analytics Systems
hace 1 día
Crunchyroll is a leading streaming service that delivers anime to over 100 million fans across the globe. Our mission is to help everyone belong, and we're looking for talented individuals to join our team.
We're an independently operated joint venture between US-based Sony Pictures Entertainment and Japan's Aniplex. We value courage, curiosity, service, and kaizen, and we strive to create a work environment that reflects these principles.
Job SummaryWe're seeking a highly skilled Data Engineer to join our analytics team. As a key member of our engineering staff, you'll be responsible for designing, building, and maintaining large-scale analytics systems that drive business insights and inform our content strategy.
The ideal candidate will have a strong background in data engineering, experience with cloud-based platforms (AWS or GCP), and proficiency in programming languages such as Python, Java, or Scala. You'll also be expected to collaborate closely with cross-functional teams, including product management, marketing, and sales.
Key Responsibilities- Design and develop large-scale analytics systems that meet business requirements
- Collaborate with cross-functional teams to define and prioritize project objectives
- Develop and maintain high-quality code that adheres to best practices and industry standards
- Troubleshoot and resolve technical issues in a timely manner
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering or a related field
- Proficiency in programming languages such as Python, Java, or Scala
- Experience with cloud-based platforms (AWS or GCP)
- Strong understanding of data modeling, database design, and query optimization
We're looking for someone who is passionate about data engineering, has a strong work ethic, and is committed to delivering high-quality results. If you're excited about the opportunity to join our team and contribute to our mission, please submit your application.
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