IT - Technical Test Lead | Test Data Management | Test Data Privatization/Masking

Ampcus Inc

Milwaukee (WI)

On-site

USD 120,000 - 150,000

Full time

10 days ago

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Job summary

Bravens Inc. in Milwaukee is seeking a GenRocket Synthetic Test Data Engineer with 8–10 years of experience to build enterprise-grade test data capabilities using GenRocket and GenAI-assisted approaches.

You will collaborate with enterprise, application, and data teams to translate source data structures into reusable GenRocket data models, develop scenarios, and integrate with test automation and CI/CD pipelines.

Qualifications

  • 8–10 years of experience in synthetic test data engineering or a related field.
  • Hands-on experience with GenRocket and synthetic data generation concepts.
  • Experience enabling enterprise data models and data governance practices.

Responsibilities

  • Establish and operationalize an enterprise synthetic test data generation capability.
  • Collaborate with enterprise, application, and data teams to understand source data structures, schemas, relationships, business rules, constraints, and data dependencies, and translate them into reusable data models consumable by GenRocket.
  • Configure and develop GenRocket scenarios to generate realistic and referentially consistent test data.
  • Support integration with test automation and CICD pipelines.
  • Leverage GenAIAI-assisted techniques for data discovery, schema and relationship analysis, datamodel generation, testdata scenario creation, and validation.

Skills

Python
GenAILLMs

Tools

GenRocket

Job description

Bravens Inc., a wholly owned subsidiary of Ampcus Inc., is an information technology consulting and services company. Bravens is a leader in providing tailored staffing solutions across both IT and non-IT industries. We are in search of a highly motivated candidate to join our talented team and contribute to our ongoing success.

Job Title: GenRocket Synthetic Test Data Engineer

Location(s): Milwaukee, WI 53202

Must Have Skills:

  • GenRocket
  • Python
  • GenAILLMs

Nice to have skills: GenRocket Synthetic Test Data SMEsEngineers to establish and operationalize an enterprise synthetic test data generation capability GenRocket scenarios to generate realistic and referentially consistent test data, establish reusable templates and standards, and support integration with test automation and CICD pipelines

Detailed Job Description: Seeking for GenRocket Synthetic Test Data SMEsEngineers to establish and operationalize an enterprise synthetic test data generation capability. The resources will collaborate with enterprise, application, and data teams to understand source data structures, schemas, relationships, business rules, constraints, and data dependencies, and translate them into reusable data models consumable by GenRocket.The role will configure and develop GenRocket scenarios to generate realistic and referentially consistent test data, establish reusable templates and standards, and support integration with test automation and CICD pipelines. Resources will also leverage GenAIAIassisted techniques for data discovery, schema and relationship analysis, datamodel generation, testdata scenario creation, and validation, while supporting application teams with onboarding and adoption.

Years of experience: 8-10 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute for GenRocket Synthetic Test Data SMEsEngineers:

To establish and operationalize an enterprise synthetic test data generation capability . The resources will collaborate with enterprise, application, and data teams to understand source data structures, schemas, relationships, business rules, constraints, and data dependencies, and translate them into reusable data models consumable by GenRocket.

The role will configure and develop GenRocket scenarios to generate realistic and referentially consis

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

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