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44 minutes ago
Type
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postgresql sql redis python distributed systems
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πŸ“‹ Description

  • Develop and maintain robust Python-based solutions for large-scale data ingestion and backend
  • Build, improve, and maintain data collection processes, including web scrapers and automated data
  • Enhance platform performance, reliability, observability, and overall data quality.
  • Conduct technical research and investigations to solve complex engineering challenges.
  • Take ownership of architectural and conceptual components, including reliability, quality assurance
  • Collaborate with engineering teams through code reviews, technical discussions, and

🎯 Requirements

  • Strong professional experience developing backend systems with advanced Python and SQL.
  • Experience working with large-scale data processing, distributed systems, and high-load
  • Knowledge of event-driven architectures and message queue technologies such as RabbitMQ or Kafka.
  • Ability to investigate technical challenges, analyze data, and make informed engineering decisions.
  • Experience building reliable, maintainable software with a strong focus on quality and scalability.
  • Strong ownership mindset with the ability to manage projects independently and deliver impactful

🎁 Benefits

  • Fully remote position based in Europe.
  • Competitive compensation ranging from approximately $5,000 to $6,500 per month, depending on
  • Opportunity to work on large-scale data systems supporting global business intelligence products.
  • High level of ownership and autonomy within an experienced technology team.
  • Exposure to advanced technologies in data engineering, automation, and machine learning.
  • Collaborative international environment with opportunities for knowledge sharing and professional
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