middle data quality engineer for healthcare company

Work in a Scrum team, convert stories to test artifacts, design and execute test cases to ensure no defective products are moved to production, verify data integrity and data quality

Working closely with software developers and bringing QA vision on Refinement and Sprint Planning sessions

Raise timely awareness about any discovered issues, document them, and work collaboratively with members of other related departments to develop remedies

Communicates application defects in a clear and concise manner

Bugfix verification and validation

Assist with other activities (regression, environment setup verification, cooperation with automation engineer, etc)

2+ years of relevant experience

Demonstrated knowledge of Software Development Life Cycle (SDLC)

Strong understanding and hands-on experience with QA processes and methodologies, with an emphasis on Agile

Experience with API testing and data validation

SQL knowledge and skills

Knowledge of Azure Data Factory, Databricks, Azure Storage - would be a plus

Experience with QA testing on iOS and Android applications will be a plus

Ability to learn new software quickly and with ease

Experience in leading multicultural QA teams

Ability to think abstractly with an “outside the box” approach to testing

Attentive to detail, with developed analytical skills, and a scientific approach to problem-solving

Ability to prioritize and execute tasks in a high-pressure environment

Ability to focus on deadlines and deliverables

Experience working in a team-oriented, collaborative environment