Data engineer (id: 3158)

• Work in an agile startup-oriented environment and contribute to continuous improvement.
  
• Design, develop, and maintain scalable software solutions, ensuring smooth transition from development to production.
  
• Contribute to up-to-date documentation and proactive prevention of technical debt.
  
• Participate in continuous delivery pipelines (Jenkins, ArgoCD, Azure DevOps, GitHub Actions).
  
• Build and support data ingestion, storage, processing, and security solutions at scale.
  
• Handle operations-related activities such as debugging, log analysis, and system monitoring.
  
• Work with open-source technologies including Kafka, Hadoop ecosystem (HDFS, Hive, Impala), Git, Docker, Kubernetes, and related tools.
  

• 8–10 years of professional experience in software development and data engineering.
  
• Strong hands-on expertise in Python and unit testing in Python.
  
• Proven experience with data migration and large-scale data engineering practices.
  
• Solid understanding of continuous integration and continuous delivery pipelines.
  
• Demonstrable experience working with open-source technologies (Kafka, Hadoop ecosystem, Docker, Kubernetes, Git, Jenkins).
  

• Work autonomously while being open to learning and guidance when needed.
  
• Debug complex issues, analyze logs, and support operations in production environments.
  
• Ensure software solutions are robust, scalable, and secure.
  
• Collaborate effectively within an agile team setup and deliver high-quality results.
  

• An opportunity to work with cutting-edge open-source technologies and modern delivery pipelines.
  
• A collaborative and growth-focused environment where continuous learning is encouraged.
  
• The chance to contribute meaningfully to scalable, production-ready data engineering solutions.
  

Let’s Connect