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Distributed Computing Expert

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Job Title: Data Engineer - Apache Ray

Overview:

As a senior data engineer, you will play a key role in designing and implementing scalable data processing systems using Apache Ray. You will work closely with our team to build reliable, efficient, and high-performance data pipelines that can handle large-scale data processing tasks.

Responsibilities:
  1. Design and implement scalable data processing systems using Apache Ray.
  2. Collaborate with cross-functional teams to build end-to-end data pipelines that meet business requirements.
  3. Develop and maintain complex data processing workflows using Apache Beam or similar technologies.
  4. Work on cloud-based data platforms such as AWS or GCP to ensure seamless integration and scalability.
  5. Monitor and troubleshoot data processing issues to ensure system reliability and performance.
  6. Stay up-to-date with the latest advancements in data engineering and apply them to our projects.
Requirements:
  • 5+ years of experience in data engineering with a focus on distributed computing and big data processing.
  • Strong understanding of Apache Ray, including its architecture, components, and APIs.
  • Experience with cloud-based data platforms such as AWS or GCP.
  • Proficiency in programming languages such as Java, Python, or Go.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work in a fast-paced environment and prioritize multiple tasks effectively.
Benefits:
  • Competitive salary and benefits package.
  • Ongoing training and professional development opportunities.
  • Opportunity to work with a talented team of engineers and researchers.
How to Apply:

If you are passionate about data engineering and want to join a dynamic team of professionals, please submit your resume and cover letter for consideration.