Description

Lead the design, development, and automation of testing frameworks for big data infrastructure across on-premise and cloud environments.

Responsibilities

• Design and automate testing for APIs, data pipelines, data services, cloud data warehouses, and machine learning platforms using Microsoft Azure.
• Drive data governance and profiling efforts to manage metadata documentation and data lineage.
• Develop quality metrics to evaluate data pipelines, products, and customer deliverables.
• Collaborate with developers to implement data science features within Agile software development lifecycles.

Required Skills

• 8-10 years of automated testing experience with multi-tenant Azure Data Factory Data Pipelines.
• 8-10 years of data ingestion automated testing for multi-tenant Azure Data Lake Gen2.
• 8-10 years of advanced hands-on experience writing SQL queries and stored procedures.
• 8-10 years of testing data warehousing and data modeling.
• 8-10 years of automated testing for data security, including RBAC, RLS, CLS, and data masking.
• 8-10 years of automated testing for user authentication and authorization using Azure AD.
• Proficiency in C#, JavaScript, Python, PowerShell, Azure CLI, and ARM templates.
• Strong knowledge of statistical methods and models for automated testing solutions.
• Experience with test-driven development (TDD), unit testing, and integration testing.

Key Skills

Education

Any Graduate