QE Data Engineer

Position     : QE Data Engineer
Location     : Austin ,TX (Day 1 Onsite )
Experience   : 14+ years
 

If you are Interested, Drop me your Resume to  Thomas@innovitusa.com  (or) you can Reach 
me on   +1 408-755-2428 .           

Key Responsibilities:

 Data Manipulation & Masking: Handle and secure sensitive data (including PII) and ensure appropriate masking for front-end applications.
 AWS Data Governance: Ensure AWS governance standards are met, including REST API testing and AWS configuration.
 Log Analysis & Data Leakage Detection: Utilize log search tools to detect potential data leakage,
ensuring thorough scenario-based testing.
 Test Design & Data Setup: Prepare detailed QA test designs and set up necessary data for
comprehensive testing.
 Test Execution Planning: Create and manage QA test execution plans to ensure thorough coverage of
test scenarios.
 Automation Testing: Develop and implement test automation strategies using tools like Selenium,
QTest, and PyTest. Experience with Java for test data preparation is a plus.
 Cloud Validation: Support cloud validation processes, ensuring that the infrastructure operates as
expected.
 Rollback Testing: Conduct rollback testing for APIs, jobs, UI, and processes to verify system stability after reversals.
 AWS Token Authorization & Parameterization: Ensure AWS token authorization and test case
parameterization for effective test execution.
 Rule Engine Testing: Test rule engines in SaaS-based applications, ensuring proper configuration and
integration. Experience with configurators in SaaS applications is preferred.
 PyTest & Data File Handling: Use PyTest for testing and work with JSON and Parquet files for data processing and validation.
 Data Pipeline Development Experience (Plus): Previous experience developing ETL/ELT data pipelines is an advantage, contributing to enhanced test automation and scripting capabilities.
 Collaboration & Best Practices: Collaborate with developers, product teams, and QEs to ensure best practices are followed and high-quality deliverables are achieved.
 In-depth knowledge of AWS data governance, REST API testing, and AWS configuration.
 Proficiency in automation testing using tools like Selenium, QTest and PyTest.
 Experience in cloud validation, load testing, and rollback testing for APIs, jobs, and UIs.
 Experience in testing rule engines and SaaS-based applications, with knowledge of configurators.
 Familiarity with PyTest and working with JSON and Parquet files.