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Test Data Management Engineer

do 150 PLN/ godz.B2B
SeniorFull-time·B2B
#441618·Dodano wczoraj·1
Źródło: emagine
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Tech Stack / Keywords

SQLPythonPowerShellJavaCI/CDDevOpsTricentis ToscaKubernetesAPI testing

Firma i stanowisko

Banking industry role based in Poland, requiring hybrid work presence in Warsaw or Gdynia/Gdańsk.

Wymagania

  • 8+ years in Test Data Management or Test Automation.
  • Strong SQL and database knowledge.
  • Knowledge of mainframe systems and setups.
  • Hands-on experience with relational databases, data extraction and transformation.
  • Test data generation, masking, cloning, and subsetting expertise.
  • Hands-on implementation of TDM solutions.
  • Experience working in Agile teams.
  • Scripting skills (Python, PowerShell, Java, or similar).
  • Understanding of CI/CD processes and DevOps practices.
  • Experience with synthetic data generation tools and test automation tools.
  • Fluent in English.

Nice to have:

  • Experience with Tricentis Tosca TDM, Curiosity Software, Delphix, Informatica TDM.
  • Knowledge of the financial services domain.
  • API testing experience.
  • Kubernetes and cloud platform knowledge.
  • AI-assisted test data creation.
  • Experience supporting large-scale E2E customer journey testing.

Obowiązki

  • Execute the test data strategy and build automated solutions.
  • Create and maintain reusable test data assets.
  • Develop automated test data provisioning solutions and self-service data delivery mechanisms.
  • Implement data masking and anonymization routines ensuring GDPR and internal policy compliance.
  • Create synthetic test datasets, including edge-case and negative test data, and maintain business-realistic data combinations.
  • Provision test data to non-production environments, manage data refresh, cloning, and subsetting to support parallel testing across multiple teams.
  • Integrate test data generation into automation frameworks to enable CI/CD-driven test data provisioning and support automated regression execution.
  • Support automated, integration, and end-to-end (E2E) testing.
  • Monitor data availability and quality, and resolve data-related defects and issues.
  • Document processes, standards, and data dependencies.
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