Job Title                               : QA Tester

Experience                          : 7+ Years 

Duration                              : 2 Months 

Job Summary

We are seeking a highly motivated Data Quality & Test Engineer with 5-6 years of experience in testing modern data platforms and cloud-based data engineering solutions. The ideal candidate will be responsible for validating data pipelines, ETL workflows, machine learning processes, and cloud infrastructure components. This role requires strong expertise in test automation, AWS services, data quality validation, CI/CD testing, and security verification to ensure high-quality and reliable data products.

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.

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

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.

Job Title                               : QA Tester

Experience                          : 7+ Years 

Duration                              : 2 Months 

Job Summary

We are seeking a highly motivated Data Quality & Test Engineer with 5-6 years of experience in testing modern data platforms and cloud-based data engineering solutions. The ideal candidate will be responsible for validating data pipelines, ETL workflows, machine learning processes, and cloud infrastructure components. This role requires strong expertise in test automation, AWS services, data quality validation, CI/CD testing, and security verification to ensure high-quality and reliable data products.

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.

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

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.