Data QA Engineer ->
 
Technical Skills
Proficiency in SQL (relational databases) for data querying and analysis
Data quality testing tools and methodologies (data profiling, data validation rules)
Scripting languages (Python preferred) for automating data testing tasks
Understanding of data pipelines and data integration concepts
Experience with Azure data services (Azure Data Factory, Azure Databricks etc.) for data manipulation and processing (good to have)
Data Quality & Governance
Knowledge of data quality metrics and data governance principles
Ability to identify and document data quality issues
Experience in defining and implementing data quality standards