Why this role stands out
Advance your career in data pipeline testing with ProArch, a company known for its innovative solutions, where you'll gain extensive experience with AWS Glue and various data processing technologies. This hybrid role is perfect for meticulous testers who excel at ensuring data quality and integrity across complex systems, offering a fantastic opportunity to develop your skills within a supportive team environment. Join ProArch and contribute to impactful projects while enjoying the flexibility of a hybrid work model.
Quick overview
Job description
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
- 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.
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