All fields marked * are required
Key Responsibilities
Data Validation & Quality Assurance
• Define, develop, and execute comprehensive test plans for:
o Data pipelines
o ETL/ELT processes
o Machine Learning workflows
o Cloud infrastructure components
• Validate data accuracy, completeness, consistency, and integrity across:
o Raw Layer
o Curated Layer
o Summarized/Consumption Layer
• Verify schema consistency, data mappings, transformations, and business rules.
• Conduct end-to-end data reconciliation and source-to-target validation.
Test Automation
• Design, develop, and maintain automated test frameworks and scripts.
• Create and execute:
o Unit Tests
o Integration Tests
o Regression Tests
o Data Quality Tests
• Develop automated test cases for:
o AWS Glue Jobs
o AWS Lambda Functions
o AWS Step Functions
o API integrations
• Improve test coverage and reduce manual testing efforts through automation.
CI/CD & Release Validation
• Validate CI/CD deployments across development, QA, and non-production environments.
• Collaborate with DevOps teams to perform deployment verification and release testing.
• Ensure successful execution of automated test suites during deployment cycles.
• Support post-deployment validation and environment certification activities.
Observability & Monitoring Validation
• Verify effectiveness of platform observability mechanisms.
• Validate:
o Application logging
o CloudWatch metrics
o Monitoring dashboards
o Alerting mechanisms
• Ensure production support readiness through proactive monitoring validation.
Security & Compliance Testing
• Conduct security validation in partnership with DevSecOps teams.
• Verify:
o Role-Based Access Control (RBAC)
o IAM policies and permissions
o Data access controls
o Security configurations
• Support compliance and governance testing requirements.
Documentation & Reporting
• Create and maintain:
o Test strategies
o Test plans
o Test cases
o Test execution reports
o Defect reports
• Track defects through their lifecycle and collaborate with development teams for resolution.
• Prepare testing metrics and quality dashboards for stakeholder review.
Continuous Improvement & Knowledge Management
• Support regression testing following reference implementation updates and platform enhancements.
• Identify opportunities for process improvements and automation.
• Contribute to quality engineering best practices and standards.
• Create test execution playbooks and knowledge transfer documentation.
• Participate in sprint planning, retrospectives, and quality reviews.
Required Skills & Qualifications
Technical Skills
• 5-6 years of experience in Data Testing, ETL Testing, Data Quality Engineering, or QA Automation.
• Strong understanding of Data Warehousing, Data Lakes, and modern Data Platforms.
• Hands-on experience with AWS services:
o AWS Glue
o AWS Lambda
o AWS Step Functions
o Amazon S3
o CloudWatch
o IAM
• Experience in SQL and complex data validation queries.
• Strong understanding of data transformation and reconciliation testing.
• Experience with automated testing frameworks and scripting languages such as Python.
• Knowledge of CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD.
• Experience testing REST APIs and event-driven architectures.
Quality Engineering Skills
• Unit Testing
• Integration Testing
• Regression Testing
• UAT Support
• Defect Management
• Test Automation
• Data Quality Assurance
Security & Monitoring
• Understanding of IAM, RBAC, and data security testing.
• Familiarity with monitoring and observability practices.
• Knowledge of DevSecOps principles is preferred.
Preferred Qualifications
• Experience with Data Lakehouse architectures.
• Exposure to Machine Learning workflow testing.
• Experience with Great Expectations, PyTest, or similar data validation frameworks.
• Knowledge of Infrastructure as Code (Terraform, CloudFormation).
• AWS Certification (Preferred):
o AWS Certified Cloud Practitioner
o AWS Certified Developer Associate
o AWS Certified Data Engineer Associate
Soft Skills
• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Attention to detail and quality-focused mindset.
• Ability to work effectively in Agile/Scrum environments.
• Strong documentation and reporting skills.
Required
Preferred
All fields marked * are required
Key Responsibilities
Data Validation & Quality Assurance
• Define, develop, and execute comprehensive test plans for:
o Data pipelines
o ETL/ELT processes
o Machine Learning workflows
o Cloud infrastructure components
• Validate data accuracy, completeness, consistency, and integrity across:
o Raw Layer
o Curated Layer
o Summarized/Consumption Layer
• Verify schema consistency, data mappings, transformations, and business rules.
• Conduct end-to-end data reconciliation and source-to-target validation.
Test Automation
• Design, develop, and maintain automated test frameworks and scripts.
• Create and execute:
o Unit Tests
o Integration Tests
o Regression Tests
o Data Quality Tests
• Develop automated test cases for:
o AWS Glue Jobs
o AWS Lambda Functions
o AWS Step Functions
o API integrations
• Improve test coverage and reduce manual testing efforts through automation.
CI/CD & Release Validation
• Validate CI/CD deployments across development, QA, and non-production environments.
• Collaborate with DevOps teams to perform deployment verification and release testing.
• Ensure successful execution of automated test suites during deployment cycles.
• Support post-deployment validation and environment certification activities.
Observability & Monitoring Validation
• Verify effectiveness of platform observability mechanisms.
• Validate:
o Application logging
o CloudWatch metrics
o Monitoring dashboards
o Alerting mechanisms
• Ensure production support readiness through proactive monitoring validation.
Security & Compliance Testing
• Conduct security validation in partnership with DevSecOps teams.
• Verify:
o Role-Based Access Control (RBAC)
o IAM policies and permissions
o Data access controls
o Security configurations
• Support compliance and governance testing requirements.
Documentation & Reporting
• Create and maintain:
o Test strategies
o Test plans
o Test cases
o Test execution reports
o Defect reports
• Track defects through their lifecycle and collaborate with development teams for resolution.
• Prepare testing metrics and quality dashboards for stakeholder review.
Continuous Improvement & Knowledge Management
• Support regression testing following reference implementation updates and platform enhancements.
• Identify opportunities for process improvements and automation.
• Contribute to quality engineering best practices and standards.
• Create test execution playbooks and knowledge transfer documentation.
• Participate in sprint planning, retrospectives, and quality reviews.
Required Skills & Qualifications
Technical Skills
• 5-6 years of experience in Data Testing, ETL Testing, Data Quality Engineering, or QA Automation.
• Strong understanding of Data Warehousing, Data Lakes, and modern Data Platforms.
• Hands-on experience with AWS services:
o AWS Glue
o AWS Lambda
o AWS Step Functions
o Amazon S3
o CloudWatch
o IAM
• Experience in SQL and complex data validation queries.
• Strong understanding of data transformation and reconciliation testing.
• Experience with automated testing frameworks and scripting languages such as Python.
• Knowledge of CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD.
• Experience testing REST APIs and event-driven architectures.
Quality Engineering Skills
• Unit Testing
• Integration Testing
• Regression Testing
• UAT Support
• Defect Management
• Test Automation
• Data Quality Assurance
Security & Monitoring
• Understanding of IAM, RBAC, and data security testing.
• Familiarity with monitoring and observability practices.
• Knowledge of DevSecOps principles is preferred.
Preferred Qualifications
• Experience with Data Lakehouse architectures.
• Exposure to Machine Learning workflow testing.
• Experience with Great Expectations, PyTest, or similar data validation frameworks.
• Knowledge of Infrastructure as Code (Terraform, CloudFormation).
• AWS Certification (Preferred):
o AWS Certified Cloud Practitioner
o AWS Certified Developer Associate
o AWS Certified Data Engineer Associate
Soft Skills
• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Attention to detail and quality-focused mindset.
• Ability to work effectively in Agile/Scrum environments.
• Strong documentation and reporting skills.
Required
Preferred