Data Engineer

Permanent employee, Full-time · Bratislava

What you'll do
  • Develop and maintain data pipelines to process and transform data from a variety of heterogeneous sources, including hospitals, labs, and healthcare providers.
  • Build robust systems for cleaning, normalizing, and integrating diverse datasets into formats suitable for machine learning and analytics.
  • Collaborate closely with data scientists, clinicians, and product teams to understand data requirements and deliver impactful solutions.
  • Ensure data quality by implementing automated validation, monitoring, and discrepancy resolution processes.
  • Optimize data workflows to handle varying data formats, schemas, and structures efficiently.
  • Contribute to architectural decisions to ensure systems are scalable, secure, and compliant with data privacy regulations like GDPR and HIPAA.
What you need

  • Proficiency in Python, with experience using standard data science libraries like Numpy, Pandas, and Scipy.

  • Strong understanding of data modeling and schema design for structured and unstructured data.

  • Excellent problem-solving skills, with the ability to manage complex data engineering tasks in a fast-paced environment.

  • Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

  • Experience in building and managing ETL pipelines for handling large and complex datasets from diverse sources.

  • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and their managed data services, though expertise in a specific platform is not required.

  • MLOps experience and familiarity with AI frameworks like PyTorch are welcomed but not required.

  • Previous experience in similar roles or tasks, preferably in a healthcare or MedTech setting, is highly desirable.

We are looking forward to hearing from you!
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