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6 дней назад

Senior BigData Engineer (Python + AWS)

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

Текст:
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TL;DR

Senior BigData Engineer (Python + AWS): Building and optimizing scalable cloud-based data solutions and processing pipelines on AWS with an accent on large-scale data ingestion and AI-related initiatives. Focus on designing high-performance data workflows, integrating AI infrastructure, and supporting batch and streaming data processing.

Location: Chile (Remote/Office)

Company

hirify.global is a global technology company providing innovative software development and digital transformation services.

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.
  • Implement solutions for large-scale data ingestion, transformation, and analytics workloads.
  • Collaborate with technical and business stakeholders to deliver effective data solutions.
  • Support batch and streaming data processing initiatives across different data domains.
  • Participate in architecture discussions and contribute to the continuous improvement of data platforms.

Requirements

  • 5+ years of experience in Data Engineering, Big Data, or related fields.
  • Strong proficiency in Python and SQL.
  • Hands-on experience developing data solutions on the AWS cloud platform.
  • Experience designing and building scalable data pipelines.
  • Knowledge of batch and streaming data processing concepts.
  • English: B2+ level required for daily communication with the team.

Nice to have

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

Culture & Benefits

  • Opportunity to work with emerging technologies and experiment with new approaches to complex data challenges.
  • Collaboration within distributed, cross-functional teams in an innovation-driven environment.
  • Focus on modern data and AI-related initiatives.
  • Commitment to equal opportunity employment and an inclusive workplace.

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