Quality Data Engineer

October 23, 2024

Industry: Private

Employment Type:- Full Time

Work Hours:- 8 Hours

Locations:- USA

Full Job Description:-

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.
Reconciliation Processes: Conduct reconciliation testing, identifying issues and ensuring data accuracy after reconciliation.
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.
Performance Testing: Perform load testing for APIs, jobs, UI, and processes to ensure system scalability and performance.
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.

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Required Skills and Experience:

Strong expertise in data manipulation, data masking, and PII data handling.
In-depth knowledge of AWS data governance, REST API testing, and AWS configuration.
Proven experience in reconciliation testing and resolving post-reconciliation issues.
Ability to conduct log analysis to identify data leakage and perform scenario-based testing.
Experience in creating test plans, designing tests, and setting up test data.
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.
Strong knowledge of AWS token authorization and parameterization techniques.
Experience in testing rule engines and SaaS-based applications, with knowledge of configurators.
Familiarity with PyTest and working with JSON and Parquet files.
Development experience is a plus.
Excellent communication skills and ability to collaborate with cross-functional teams.

Preferred Qualifications:

Experience with Varicent or similar rule engine platforms.
Development experience is a plus.
Prior experience working in cloud-based environments or financial services is advantageous.

Quality Data Engineer

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Full Job Description:-

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Quality Data Engineer

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