Description

You will lead end-to-end data testing strategies and validation efforts for large-scale data systems and migration projects.

Responsibilities

• Own the end-to-end data testing strategy and validation plans for complex data pipelines.
• Lead parallel testing efforts to ensure data integrity during migrations from legacy platforms to modern architectures.
• Validate data transformation logic, business rules, and data integrity checks.
• Execute testing for real-time data validation within Kafka-based systems.
• Manage testing workflows within Agile methodologies.

Required Skills

• 10+ years of experience in ETL and Data Warehouse testing.
• Expertise in SQL and Python for data testing and automation.
• Strong background in data validation and data migration projects.
• Hands-on experience with Kafka-based systems.
• Proven ability to define comprehensive test strategies for complex pipelines.
• Experience working in data-centric environments using Agile methodologies.
• Degree in any graduate field.

Preferred Skills

• Experience with AI-based testing techniques.
• Exposure to large rail domain datasets.

Key Skills

Education

Any Graduate