Position: Product Owner (Data Engineer)
Company: DataArt
Experience required: 5y
English level: upper

Required Skills and Experience
3+ years in Product Management (as a product owner, business analyst, or product manager)
3+ years working with software products,  experience with BigData/ETL is a plus
Experience managing a team backlog, breaking down requirements, writing user stories, and validating customer needs are met
Strong negotiation, organizational, management, analytical, and people skills
Experience with agile processes and tools, such as scrum, Kanban, and/or the Scaled Agile Framework (SAFe), Jira.
Excellent written and verbal communication skills
Spoken English

We offer:
Experienced colleagues who are ready to share knowledge
The ability to switch projects, technology stacks, try yourself in different roles
More than 150 workplaces for advanced training
Study and practice of English: courses and communication with colleagues and clients from different countries
Support speakers who make presentations at conferences and meetings of technology communities
The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services
Friendly atmosphere, concern for the comfort of specialists
Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues
The ability to work in any of our development centers.

Client
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. The service runs on both Web and Mobile applications.
 
Project Overview
Patient care solution is aimed at improving remote caregiving possibilities for patients helping them to communicate with a different types and levels of doctors (providers) across the country. It accumulates more than 50 000 providers, 40+ states and more than 5 million patients. Data flows from 5+ different sources and in specific medical formats (but not only).
 
Position Overview
We are Developing and supporting data analytics platforms used internally by different healthcare facilities. Adopt new features of the serverless data lake framework and expand the existing ones based on cutting-edge technologies using GCP. Data lake consumers are different departments that use the pull of data for making different type of predictions and decisions on improving care giving, care statistics, sales and many more. Also extend and support the ETL ingestion pipelines implemented with Informatica.