TL;DR
Data QA Engineer (Azure): Leading QA activities for a technical analytics and data export platform, focusing on testing Azure data pipelines and cloud-native services. Focus on validating JSON file exports, data integrity, transformation logic, and supporting CI/CD pipelines with robust QA practices.
Location: Hybrid, 2 days onsite per week in Leeds, West Yorkshire.
Company
hirify.global are recruiting for a well-known organisation undertaking a major data and analytics programme within Azure.
What you will do
- Lead QA activities for a technical analytics and data export platform.
- Deliver testing across Azure data pipelines and cloud-native services.
- Validate JSON file exports, data integrity, and transformation logic.
- Test Spark Notebook outputs and data processing workflows.
- Execute functional and non-functional testing, including performance testing.
- Support CI/CD pipelines with robust QA practices.
Requirements
- Proven experience testing Azure data pipelines, including Azure Data Factory, Microsoft Fabric, Synapse, and Databricks.
- Strong understanding of Spark Notebooks and data outputs.
- Hands-on experience with Python and SQL.
- CI/CD experience within cloud environments.
- Strong Azure platform knowledge.
- Comfortable working with structured and semi-structured data.
Culture & Benefits
- Equal opportunities employer welcoming applications from all suitably qualified persons.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →