Data Architect for Scalable Healthcare Solutions

18 hours ago


Remote Kraków, Czech Republic Kontakt Full time

At Kontakt.io, we are building a revolutionary platform that transforms care operations. As a Data Platform Engineer, you will play a vital role in designing and maintaining scalable data infrastructure to support real-time analytics, data ingestion, and machine learning applications.

The ideal candidate has 5+ years of experience as a Data Engineer or related role, with expertise in cloud platforms (AWS), big data frameworks like Apache Spark, and streaming and batch processing using Kafka. Strong knowledge of TimeScale and proficiency in Python, Scala, or Java is required.

Key Responsibilities:
  • Design and build scalable data pipelines (batch & streaming) to process RTLS, IoT, and EHR data.
  • Implement real-time event processing architectures using Kafka.
  • Optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.
  • Develop and maintain data lakes and warehouses for analytics and machine learning applications.
  • Partner with software engineers and cloud teams to maintain a highly available data platform.
  • Work closely with third-party vendors to integrate, standardize, and secure data from EHRs.
Requirements:
  • SQL and data engineering skills
  • Experience with Apache Spark, big data, and AWS
  • Strong knowledge of TimeScale and programming languages (Python, Scala, Java)
  • Docker, Kubernetes, Terraform, and containerization/orchestration tools
  • RTLS tools (Jira, GitHub, GIT, Jenkins, Agile, Scrum)
Benefits:
  • Sport subscription
  • Private healthcare
  • Flat structure
  • Small teams
  • International projects
  • Free coffee
  • Bike parking
  • Shower
  • Free snacks
  • Free beverages
  • Startup atmosphere
  • Free parking
  • No dress code


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