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2 часа назад

Senior Big Data Engineer (AWS)

Формат работы
remote (только Poland)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Big Data Engineer (AWS): Building scalable cloud-based data solutions and data processing pipelines on AWS with an accent on modern data and AI-related initiatives. Focus on developing reliable data platforms, optimizing large-scale ingestion, and ensuring high-performance analytics workloads.

Location: Poland (Remote/Office)

Company

hirify.global is a leading global IT services provider specializing in cloud-based data solutions and engineering technology.

What you will do

  • Design, develop, and maintain scalable data processing pipelines and cloud-based solutions on AWS.
  • Build and optimize data workflows using Python and SQL to support large-scale analytics.
  • Develop solutions for high-volume data ingestion and transformation across different domains.
  • Collaborate with technical and business stakeholders to define requirements and deliver effective data solutions.
  • Support both batch and streaming data processing initiatives.
  • Evaluate emerging technologies and frameworks to improve platform efficiency and solution quality.

Requirements

  • 5+ years of experience in Data Engineering or Big Data.
  • Strong proficiency in Python and SQL.
  • Hands-on experience developing data solutions on the AWS cloud platform.
  • Proven experience in designing and building scalable data pipelines.
  • Deep knowledge of batch and streaming data processing concepts.
  • English: Upper-intermediate or higher required.

Nice to have

  • Experience with video, image, or audio processing pipelines for AI applications.
  • Experience with IoT data platforms and processing solutions.
  • Familiarity with NVIDIA technologies, GPU-accelerated computing, or AI infrastructure.

Culture & Benefits

  • Opportunity to work with emerging technologies and experiment with innovative approaches to complex data challenges.
  • Fast-paced, innovation-driven environment with cross-functional collaboration.
  • Inclusive workplace as an equal opportunity employer.

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