Senior Data Engineer in Lviv

We are looking for a Data Engineer who will be a significant part of the healthcare technology company that provides a platform to support patients with complex medical needs.

Project Description

Customer

USA

Office Location

Lviv

Project Technologies

Backend: Service-oriented with Java with Spring Boot and PostgreSQL
Frontend: Typescript with React / React Native.
Data & BI: Fivetran, Snowflake, Tableau
Infrastructure: ECS, RDS, Lambda, SQS, Kinesis, Cloudformation, and more
QA: Cypress for e2e and Detox for mobile

Product

The platform is designed to help patients better manage their health conditions and reduce hospitalizations and other costly interventions. Also, it includes a mobile app that allows patients to communicate with their care team, track their symptoms, and access educational resources. The platform also provides care teams with data analytics and tools to identify high-risk patients and proactively manage their care.

Project Team

5 (tech lead full stack + 2 backend + DevOps + mobile)

What We’re Looking For

3+ years of hands-on development experience in data engineering
Advanced SQL knowledge
Advanced knowledge of Python, Java, or any other modern languages
Has worked in a modern data warehouse (Snowflake + Tableau) before or has deep knowledge of how they work
Strong understanding of database schema design, caching, and scalability
Has worked in a CI/CD environment before and is used to using Git daily
Has worked directly in AWS (or a similar public cloud provider), standing up and maintaining infrastructure, ideally using an infrastructure-as-code solution
Experience owning data pipelines end-to-end
Writes understandable, testable code with an eye toward maintainability
Solid foundation in computer science, with competencies in data structures and software design practices
Able to work autonomously and always has a vision of the big picture
Excellent verbal and written communication skills in English and ability to work in both international and multifunctional teams

Your Responsibilities

Develop and iterate on data extraction, loading, and transformation processes involving multiple different data source
Own client's Data Warehouse data model
Interact closely with stakeholders to determine analytics needs and translate those into efficient and scalable data processes