Data Quality / AQA Expert for Big Data infrastructure using Microsoft Azure
About Talentuch : Talentuch is a leading recruitment agency specializing in finding top talent for our clients. We are currently looking for a Data Quality / AQA Expert to join a client's quality assurance team, working in the US timezone.
Responsibilities :
- Develop and automate testing frameworks for Big Data infrastructure using Microsoft Azure.
- Lead API testing and automate data pipelines, data services, cloud data warehouses, business intelligence, and machine learning platforms.
- Utilize programming languages and analytics tools to validate products, machine learning models, data pipelines, and data deliverables.
- Lead data governance and profiling efforts to ensure data quality and proper metadata documentation.
- Create quality metrics to evaluate data pipelines, products, and customer deliverables.
- Work within Agile development processes and participate in iterative software development lifecycle.
- Collaborate with developers to design and implement data science features.
- Perform feature and regression testing, and assist the QA team as needed.
Technical Skills :
- 8-10 years of automated testing experience with Azure Data Factory, Data Lake Gen2, and Data Warehousing.
- Advanced experience with SQL, stored procedures, and data security testing.
- Proficiency in user authentication and authorization using Azure AD.
- Experience with near real-time data ingestion and incremental change processing.
- Advanced testing experience with Azure APIs and Power BI embedded.
- Strong programming skills in C#, JavaScript, and Python.
- Familiarity with PowerShell, Azure CLI, and ARM templates.
Education :
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field with a focus on data analytics.
Requirements :
- Must be located in the US timezone.
- No sponsorship available.
- No agencies.
Join our team and help our client maintain the highest standards of data quality and excellence!
Il y a plus de 30 jours