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AWS Glue Data Pipeline Tester

ProArchBengaluru, Karnataka🇮🇳IndiaPosted 5 Oct 2026

Why this role stands out

This hybrid role offers a fantastic opportunity to hone your data pipeline testing expertise within a reputable company, ProArch, while enjoying the flexibility of a hybrid work environment. If you excel at defining and validating data quality and possess a deep understanding of AWS services like Glue, S3, and CloudWatch, you'll thrive in this position as you contribute to robust data solutions. Embrace this chance to grow your skills and make a significant impact.

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationBengaluru, Karnataka, India
Posted3 weeks ago
AWSData PipelineReconciliationIAM

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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