knokcare
knokcare
knokcare yanada bog‘langan va qulay tibbiy yordam uchun raqamli vositalar ishlab chiqadigan tibbiy texnologiyalar kompaniyasidir. Uning integratsiyalashgan platformasi Digital Front Door yondashuvi orqali bemorlarni tibbiyot muassasalari va mutaxassislari bilan bog‘lab, telemeditsina, bemorlar uchun telekonsultatsiyalar, bemorlarni masofadan kuzatish hamda sog‘liq ma’lumotlari tahlilini qo‘llab-quvvatlaydi. 2015-yilda tashkil etilgan knokcare tibbiy xizmatlarni ko‘rsatishni soddalashtirish, avtomatlashtirishni qo‘llab-quvvatlash va tibbiyot tashkilotlariga turli kasalliklar bo‘yicha xizmatlarini kengaytirishga yordam berish uchun klinik va operatsion bilimlarni birlashtiradi. Kompaniya sog‘liqni saqlash, telekommunikatsiya va SaaS sohalaridagi tajribani jamlab, bemorlarning shaxsiylashtirilgan tajribasiga hamda kelajakdagi sun’iy intellekt asosidagi tibbiy ilovalarga moslasha oladigan texnologiyalarga e’tibor qaratadi.

Junior Data Engineer – Matosinhos (Hybrid)

Support reliable healthcare data pipelines, models, and quality processes as a Junior Data Engineer at knok. Help monitor ELT workflows, transform clinical data, and provide dependable insights for decision-making.

Tavsif

  • Help maintain and continuously improve the data platform
  • Keep data accurate, reliable, and consistently current
  • Monitor daily ELT workflows and confirm pipelines complete within expected timeframes
  • Investigate data-quality concerns, pipeline failures, and inconsistencies
  • Convert raw data from multiple sources into structured, usable datasets
  • Work with healthcare data such as HL7 records, laboratory results, appointments, and admissions
  • Assist with developing and maintaining data models and transformations
  • Partner with Data Analysts and other teams to understand data needs and deliver reliable solutions
  • Explain technical topics clearly to stakeholders without technical backgrounds
  • Support documentation, testing, and ongoing improvements to data processes

Talablar

  • Degree in Computer Science, Data Science, Information Technology, Engineering, or a related discipline
  • Some academic or professional experience using Python
  • Good command of SQL and relational databases
  • Foundational knowledge of data pipelines, ETL/ELT practices, and data modelling
  • Strong analytical and problem-solving abilities
  • Careful, detail-oriented approach with a clear focus on data quality
  • Ability to investigate issues methodically and work toward structured solutions
  • Ability to explain technical concepts clearly to non-technical stakeholders
  • Strong motivation to learn and grow in Data Engineering
  • Collaborative, curious approach with a sense of ownership
  • Airflow or another orchestration tool is preferred
  • Experience with dbt is preferred
  • Experience with cloud data platforms such as BigQuery, Snowflake, or Redshift is preferred
  • Experience with version-control tools such as GitHub is preferred
  • Previous exposure to HL7 or other healthcare interoperability standards is preferred
  • Experience with, or a strong interest in, healthcare data is preferred

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