Data Engineer, Telemedicine Solutions

Deadline: 09 April 2023

Employment term: Permanent

Category: Data Science/Data Engineering

Job type: Full time

Location: Yerevan

Job description:

The client is a telemedicine company. A comprehensive digital solution developed by their technicians enables new models of patient care. The basic principle of operation is patient-doctor communication via secure video channels. The company provides emergency teleconferencing assistance to patients in more than 40 states, and powers telehealth solutions for over 240 health systems comprised of 2,000 hospitals and 55 health plan partners.
DataArt is assembling a team for an incipient project with a modern stack and microservices architecture. The service runs on both Web and Mobile applications. The client is looking to architect and build a complex platform to support multiple telehealth solutions. This is a unique situation when modernization is practically a green field with an opportunity to design things right.
The specialist we are looking for will join the distributed team of 80+ people from Ukraine, Europe, Armenia, LATAM, and the USA. Your Scrum team will consist of 6+ Data Engineers, DevOps, Data QA Engineer, Architect, Product Owner, and Development Manager.

Job responsibilities

  • Development and support of the core data analytics platform (Python) used internally by different healthcare facilities
  • Verify new features of the data lake framework
  • Deep diving into the logic of client business
  • Collaborates with multiple teams (Data lake consumers are different departments that use the pull of data for making different types of predictions and decisions on improving caregiving, care statistics, sales, and many more)
  • Understands the overall enterprise Data Architecture and executes on delivering a Next Gen Data Warehouse
  • Work on the design of the new components of the solution
  • Support the ETL ingestion pipelines

Required qualifications

  • Knowledge of the general principles of Data Warehousing and Data Lakes (BigQuery is a perfect match)
  • Willingness to do research on business logic
  • Hands-on experience with SQL
  • Knowledge of Python
  • Experience with GCP or other cloud providers
  • Readiness to research customer's product
  • Familiar with source control tools GIT
  • Experience with CI tools
  • Strong analytical skills
  • Good spoken English

Required candidate level: Mid level

Additional information

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25 offices in USA, Latin America, Western and Eastern Europe and UK


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  • Healthcare & Life sciences
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Learning & Development

  • Internal Courses
  • Learn Cafe Program (corporate access to LinkedIn Learning, study on other external educational platforms and get reimbursed)
  • Corporate Online Library (45K+ professional books)
  • Coaching Program
  • Tech Skills Mentoring Program
  • English & German Classes
  • Soft Skills Live Online Trainings

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Contact details

Phone: +37460509797

Address: Dzorapi 70/3, 7 floor Yerevan, Armenia, Yerevan, Armenia

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