Data Scientist for Large-Scale Data Processing

hace 1 día


Madrid, Madrid, España Npaw A tiempo completo

NPAW Overview
NPAW is a pioneering video intelligence company driving the growth of online streaming services. As a global leader in video data processing, NPAW has over a decade of experience developing cutting-edge analytics solutions to optimize performance and user engagement, creating media experiences that maximize revenue.
Our suite of analytics apps provides real-time visibility into platform performance, audience behavior, advertising efficiency, and content optimization to support data-driven decisions. We serve more than 170 video services worldwide, processing over 200 billion plays and 6 trillion events annually.

About Us
Established in 2008 by co-founders of Rakuten TV, NPAW has offices in Barcelona, Madrid, Lisbon, and Porto with teams globally. For more information, visit npaw.com.

Job Description

We're seeking an experienced Software Engineer to join our NPAW Device Probes team. If you excel at crafting software components for high-volume data processing and tackling new challenges, we'd love to hear from you.

Responsibilities:

  • Design, develop, and maintain software components for efficient large-scale data processing and storage.
  • Collaborate with cross-functional teams to implement and optimize data analysis solutions.
  • Integrate various protocols and technologies for continuous service improvement.
  • Participate in software project planning and execution, ensuring timely delivery and quality.
  • Provide technical support and mentoring to team members as needed.

Requirements:

  • Extensive experience in software development, particularly in large-scale data processing and storage.
  • Detailed knowledge of data protocols and associated technologies (e.g., Redis, Dragonfly, Kafka).
  • Proficiency in programming languages commonly used in big data environments (e.g., Java, JavaScript, Python).
  • Experience with relational and NoSQL databases.
  • Previous experience in video streaming technologies (e.g., MPEG-DASH, HLS) is highly valued.
  • Strong problem-solving skills and critical thinking.
  • Excellent communication and teamwork abilities.
  • Innovative and proactive, with a strong goal-oriented mindset.

Compensation: $120,000 - $180,000 per annum, depending on experience and qualifications.



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