3+ years of testing experience
Good software testing background
Experience with Test documentation: test cases, test plans, checklists, estimations, and status reports
Functional and non-functional testing experience
Have good presentation and communication skills, ability to work in multiple cultures and mixed teams
B1 and upper written and spoken English.
Experience or theoretical background in Test Automation
Applied Math or another technical degree
Basic programming skills
Experience working in Agile BI projects
Experience with API / GUI tests automation
Competitive salary depending on experience and skills
Flexible working hours
Ability to work remotely or from abroad
Office in the heart of Kharkiv downtown
20 days of vacation, respecting UA holidays
Compensation for English courses, books, participation in conferences local and abroad
Product Requirements verification
Test Data design (DW analysis)
Writing/Executing TCs for Web App UI and DW
Customers support (investigation & communications with Clients on QA/Support issues)
Taking part in API / GUI tests automation
Founded in 2014, GreenM is the engineering and professional services provider for Data-centric solutions. We start from understanding goals of our partners and then leverage a wide variety of top-notch technologies to co-build Analytics products. Our senior-level engineering team brings to the table diverse backgrounds and expertise in numerous technology areas. This enables us to create easy-to-use Analytics platforms that are insightful, scalable and responsive.
At GreenM we deeply focus to unleash the full potential of each engineer and invest broadly to strengthen the Team skillset and build the company culture around continuous improvements.
We are looking for an experienced QA Engineer to join our team to develop and grow the product that corresponds to our primary company profile — gathering, processing, and analysis of the Big Data.
Solution is focused on helping hospitals:
— Identify root causes and prioritize efforts to improve patient experiences
— Act upon emerging trends before they escalate to larger problems
— Perform real-time service recovery for at-risk patients
Data storages: MS SQL Server, Vertica, Dynamo DB, S3, Elasticsearch
ETLs: Amazon services (Lambda, SWF, Athena, etc), Spark, Airflow
Web: .Net and Angular
Visualization: Tableau, Kibana, Splunk, D3