Qureos

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Data ETL Engineer

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  • Design and implement ETL processes for data transformation and preparation
  • Deploy machine learning models to production environments
  • Manage data pipelines for analytics and operational use
  • Ensure data accuracy and integrity across multiple sources and systems
  • Collaborate with data scientists to support NLP algorithms and analytics
  • Requirements and skills
  • 4+ years of experience in data engineering within a production environment
  • Advanced knowledge of Python and Linux shell scripting
  • Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB)
  • Proficiency in building stream processing systems using Kafka
  • Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)
  • Bonus: Experience with the ELK stack and machine learning knowledge

Job Type: Full-time

Work Location: In person

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