6 дней назад
Data Processing Quality Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Processing Quality Engineer (SQL/Python): Ensuring the accuracy, performance fidelity, and robust large-scale execution of a data processing engine with an accent on functional, performance, integration, and system-level testing. Focus on developing automation-first test strategies, debugging complex failures, and validating database and query engine platforms across public cloud environments.
Location: Hyderabad, Telangana, India
Company
Data processing engine quality and performance engineering.
What you will do
- Ensure data processing engine result accuracy, performance fidelity, and robust execution at scale.
- Design test strategies for complex data processing systems.
- Perform functional, performance, integration, and system-level testing.
- Build and maintain automated testing using programming, scripting, and automation tools.
- Debug failures, identify root causes, and narrow down problem areas.
- Validate data processing platforms and workloads across public cloud environments.
Requirements
- Bachelor’s degree in Electrical Engineering, Computer Science, or an equivalent field.
- 5+ years of experience in data processing quality or performance testing for database, data warehouse, or query engine applications.
- Strong knowledge of SQL, Python, and similar data processing languages.
- Experience with automation tools and an automation-first testing approach.
- Experience with AWS, GCP, or Microsoft Azure.
- Knowledge of Jira, Confluence, Git, Jenkins, SDLC, Agile methodologies, and CI/CD implementations.
Nice to have
- Experience testing Apache Spark, Gluten, Velox, or DataFusion platforms.
Culture & Benefits
- Automation-first approach to quality engineering.
- Work focused on complex systems, root-cause analysis, and large-scale execution.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →