QA Automation, Reinsurance Services
Крайний срок: 14 Июнь 2024
Условия контракта: Постоянный
Категория: Обеспечение/контроль качества
Тип вакансии: Полная ставка
Местонахождение: Ереван
Описание работы
Our client is one of the leading Reinsurance service providers across the globe.
DataArt was selected as a key technology partner in the realization of the client's IT modernization roadmap in 2023 and beyond. This is one of the ongoing projects. DataArt Engineers will join the client's teams to strengthen the tech, process, and quality expertise.
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Требования
- 5+ years of experience working as a QA engineer, with a minimum of 2-3 years of experience working as a QA Automation Engineer
- Experience working with Data Analytics Solutions and/or with Data and BI teams
- A degree level education in a relevant discipline or equivalent industry experience
- Experience developing test automation frameworks that facilitate execution of automated test cases for API integration working with big data.
- Experience with data query languages (SQL, for example) and ability to write/modify queries to write validation tests on big datasets.
- Experience creating automated data quality control checks for end-to-end ETL/Datawarehouse solutions.
- A proven ability for design of test cases with a detailed understanding of industry standards and norms across test automation
- A comprehensive knowledge of QA automation principles and concepts
- Demonstrable analytic and problem-solving skills
- Quickly adopt new technologies and systems
- Flexibility to work independently or as part of a team is required
- Ability to manage multiple tasks in parallel
- Ability to work in a challenging, fast-paced environment
- Elasticity to handle changes in work priorities
- Willingness to help improving the test automation capabilities of the solutions developed in the portfolio
Требуемый уровень кандидата: Старший
Дополнительная информация
- Comfortable working with Python
- Strong SQL experience and principles
- Experience working with BI solutions (Power BI, Dremio)
- Good knowledge of QA automation tools and frameworks (pytest, cypress, etc.)
- Good experience creating test automation solutions for testing system integration through APIs
- Experience with cloud-based solutions (AWS Redshift for example)
- Experience creating automated data quality control checks for RDMS (SQL Server, PostgreSQL, Oracle, MySQL, etc.)
- Experience working with BI solutions (Power BI, Tableau)
Профессиональные навыки
Python
QA
SQL
Личные навыки
Способность работать в команде
Поделитесь этой вакансией в соцсетях.
О компании
DataArt is a global technology consultancy that designs, develops and supports unique software solutions, helping clients take their businesses forward. Recognized for their deep domain expertise and superior technical talent, DataArt teams create new products and modernize complex legacy systems that affect technology transformation in select industries.
DataArt has earned the trust of some of the world’s leading brands and most discerning clients, including Nasdaq, skyscanner, Ocado, Betfair, Meetup, Regus and Tinkoff. DataArt brings together expertise of over 2,800 professionals in 22 locations in the US, Europe, and Latin America.
DataArt in numbers:
— 2,800+ professionals
— 22 years in operation
— 12 million hours of R&D and Software work
— 3,500 projects completed successfully
— 20+ offices in USA, Europe, and Latin America
— $140 mln — revenue in 2018
Glassdoor review score — 4.6
Team satisfaction survey 2018:
- 79% of colleagues are satisfied with their working environment
- 87% of colleagues want to spend a significant part of their career at DataArt
- 92% of members of our team are ready to recommend DataArt as a good employer to their friends and family
DataArt’s employer reputation and high quality of our corporate services get the highest satisfaction scores among our team members
LOCATIONS
25 offices in USA, Latin America, Western and Eastern Europe and UK
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We are experts in
- Finance
- E-commerce and online-travel commerce
- Healthcare & Life sciences
- Media & Entertainment
- IoT/M2M and wearable devices
- Telecom
- Retail & Distribution
- iGaming
- Cloud solutions
- Machine learning
- Big Data
- Blockchain
- Mobile technology
- UX/UI design
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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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Фотогалерея
Контакты
Телефон: +37460509797
Адрес: 3 Dzorapi Street, Ереван, Армения
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+374 43 901 900 
