Backend Engineer with Big Data @

2 weeks ago

Remote, Czech Republic Link Group Full time
Core Requirements:
  • Proven experience in Python backend development with a focus on data-heavy applications
  • Hands-on expertise with Big Data tools such as Apache Spark, Databricks, etc.
  • Experience with data orchestration tools like Airflow
  • Working knowledge of Azure Cloud services
  • Familiarity with Docker and containerized application deployment
  • Ability to write clean, efficient, and maintainable code
  • Good communication skills and a collaborative mindset
  • Proficiency in English in an international team environment
Preferred Qualifications:
  • Understanding of blockchain technologies and related data structures
  • Experience with monitoring and observability tools (e.g., Datadog) and CI/CD automation
  • Familiarity with Agile methodologies and enterprise-scale delivery environments
Backend Engineer – Big Data

100% remote | Full-time | International environment

We are seeking a Backend Engineer with strong Big Data and data engineering skills to support the development of scalable, high-performance data solutions in a modern cloud environment. This role is ideal for someone passionate about clean code, robust architecture, and processing massive data sets in production-grade systems.

,[Design, build, and maintain backend components for large-scale data pipelines using Python, Spark, Databricks, and other modern data tools, Implement and manage workflow orchestration using Airflow or similar tools, Collaborate with cross-functional teams including DevOps, data analysts, and product owners, Optimize data processing for performance, reliability, and scalability in a cloud-native environment (Azure), Ensure deployment readiness and integration with Docker and CI/CD workflows, Contribute to the continuous improvement of backend and data engineering practices] Requirements: Python, Big Data , Apache Spark, Databricks, Airflow, Azure Cloud, Docker, Blockchain, Data structures, Datadog

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