Data Test Specialist

Elabs Infotech; Hyderabad, Pune District, Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Elabs Infotech is seeking an experienced Data Tester with strong expertise in Master Data Management (MDM) testing to validate data quality, data integrity, and end-to-end data flows across enterprise data systems. The ideal candidate will have 5+ years in data testing and ETL/ELT validation, hands-on MDM testing, and strong SQL skills to validate source-to-target mappings and data reconciliations.

You’ll collaborate with data engineering, MDM teams and business stakeholders to identify data

Qualifications

• 5+ years of experience in Data Testing / Data Quality / ETL Testing.
• Hands-on experience in MDM Data Testing.
• Strong knowledge of Master Data Management concepts including matching, survivorship, hierarchies, golden records.
• Proficient in SQL for data validation, reconciliation, and analysis.
• Experience in source-to-target data validation and data mapping testing.
• Familiar with data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and integrity.
• Experience with defect management and testing lifecycle.

Skills

Data Testing

Data Quality

ETL Testing

MDM Testing

SQL

Data Validation

Data Mapping

Data Integrity

Defect Management

Tools

ETL Tools

Job description

We are looking for an experienced Data Tester with strong expertise in Master Data Management (MDM) testing to validate data quality, data integrity, and end-to-end data flows across enterprise data systems. The ideal candidate should have hands-on experience in data testing, ETL/data validation, MDM concepts, and SQL, with the ability to identify data quality issues and work closely with data engineering, MDM, and business teams.

Required Skills & Experience:

• 5+ years of experience in Data Testing / Data Quality / ETL Testing.
• Strong hands-on experience in MDM Data Testing.
• Good understanding of Master Data Management concepts, including matching, merging, survivorship, hierarchies, relationships, and golden records.
• Strong proficiency in SQL for data validation, reconciliation, and analysis.
• Experience in source-to-target data validation and data mapping testing.
• Experience testing data integration and ETL/ELT processes.
• Strong understanding of data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and integrity.
• Experience with defect management and testing lifecycle processes.
• Ability to analyze large datasets and identify data anomalies and inconsistencies.