Senior Data Engineer

1. Conduct data analysis and profiling using Informatica Data Quality (IDQ) tool to understand the structure, quality, and integrity of the data. 
2. Collaborate with the data migration manager with project planning and status reporting on data profiling and cleansing activities. Overall adhere to the AX data clean up ways of working. 
3. Collaborate with business stakeholders and data owners to interpret profiling results and understand data requirements and objectives. 
4. Develop data quality rules & standards based on business requirements and industry best practices. 
5. Document data quality processes, rules and standards for future reference and training purposes. Create and maintain source to target mappings. 
6. Create DQ scorecard and reports to track and monitor data quality metrics over time.