Data Scientist for Large-Scale Data Processing

hace 5 días


Madrid, Madrid, España Npaw Spain A tiempo completo
Unlock the Power of Data Processing

NPAW, a leading video intelligence company, is seeking an experienced Data Scientist to join its NPAW Device Probes team. If you're passionate about crafting software components for high-volume data processing and eager to tackle new challenges, we'd love to hear from you.

About Us

We're a global pioneer in video data processing, with over a decade of experience developing scalable analytics solutions. Our suite of apps provides advanced visibility into platform performance, audience behavior, advertising, and content efficiency. We serve more than 170 video services and process over 200 billion plays and 6 trillion events per year worldwide.

Job Description

We're looking for a skilled Data Scientist to design, develop, and maintain software components that support efficient processing and storage of large data volumes. As part of our cross-functional team, you'll collaborate to implement and optimize data analysis solutions, integrate various protocols and technologies, and participate in software project planning and execution.

Requirements
  • Extensive experience in software development, especially in large-scale data processing and storage.
  • Detailed knowledge of data protocols and associated technologies (such as Redis, Dragonfly, Kafka).
  • Proficiency in programming languages commonly used in big data environments (Java, JavaScript, Python, etc.).
  • Experience with relational and NoSQL databases.
  • Previous experience in video streaming technologies (MPEG-DASH, HLS) is highly valued.
Benefits
  • A competitive salary range: €60,000 - €90,000 per year.
  • Private health insurance with Adeslas.
  • Flexible compensation plan for meals, transport, and childcare.
  • Hybrid work options with potential for fully remote work.
  • Flexible schedule (23 vacation days per year).
  • Career advancement opportunities.
  • Access to continuous training.
  • Language lessons available.
  • Referral bonuses.

We celebrate diversity and want our employees to reflect the differences.



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