Strong SQL skills, including complex queries, joins, aggregations, window functions, and data comparisons
• Hands-on experience validating data across different systems, databases, or reporting platforms
• Proven experience with data quality testing, reconciliation, and validation of migrated data
• Ability to analyse discrepancies between source and target datasets and identify their root causes
• Experience validating ETL/ELT pipelines, including completeness, accuracy, consistency, and transformation logic
• Good understanding of data models, relationships, schemas, and data dependencies
• Experience testing structured and semi-structured data
• Ability to translate business and reporting requirements into test scenarios and validation rules
• Experience defining and executing data quality checks, including:
o record counts and completeness
o null and duplicate checks
o referential integrity
o field-level reconciliation
o aggregation and KPI validation
o business rule validation
o historical data consistency
• Ability to distinguish between source data issues, transformation defects, and reporting/visualisation issues
• Experience documenting defects and working closely with Data Engineers to investigate and resolve data discrepancies
• Good analytical and problem-solving skills
• Experience working with Git-based development workflows and Agile delivery teams