Role Summary:
The Data Tester ensures the accuracy, reliability, and performance of data systems through rigorous testing and validation processes.
Key Responsibilities:
• Design and execute test plans for data pipelines, ETL processes, and data warehouses
• Validate data transformations, aggregations, and business logic
• Perform data profiling and anomaly detection
• Automate data validation using tools like PyTest, DBUnit, or custom scripts
• Collaborate with data engineers and QA teams to resolve issues
• Document test cases, results, and defect reports
Required Skills:
• Strong SQL skills for data validation and analysis
• Experience with data testing tools and frameworks
• Understanding of data modeling and ETL processes
• Familiarity with cloud data platforms and databases
• Attention to detail and analytical mindset
Functional Skills:
• In-depth understanding of Asset Management Companies (AMCs) and Capital Markets
• Familiarity with business processes across Sales, Finance, and Investment domains
• Strong grasp of how investor-level (360°) data is derived from scheme-level data points
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 2+ years of experience in data testing or QA roles
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