The candidate should be able to define and validate data quality rules covering: • Completeness • Accuracy • Consistency • Validity • Uniqueness • Timeliness • Referential integrity • Conformity to business rules • Schema and metadata consistency Testing Areas The role will include the following types of testing: • Functional testing • End-to-end integration testing • Data validation testing • Source-to-target reconciliation • Parallel Testing with legacy interfaces testing. • Regression testing • System integration testing • User acceptance testing support • Negative testing • Exception and error-path testing • Performance and volume testing • Scalability testing • Restart and recovery testing • Failover and resiliency testing • Security and access testing • Production smoke testing • Operational and monitoring validation Requirements • AWS Glue Jobs • AWS Glue Workflows • Amazon S3 • Amazon CloudWatch • AWS IAM • Amazon EventBridge • AWS Lambda • Amazon SNS • Amazon SQS • AWS Secrets Manager • AWS Step Functions • AWS KMS • Ability to review AWS Console configurations, job parameters, logs, metrics, and execution history. • Data Pipeline and File Processing Interface Testing • Strong understanding of Inbound and Outbound Data File Processing / Data Pipeline. • Experience testing inbound/outbound file transfers across S3, SFTP/FTPS, AWS Transfer Family, APIs, and external partner endpoints, including authentication, connectivity, retry, timeout, and delivery validation.