Role Proficiency:

Leverage specialist testing knowledge to define and implement testing best practices and environment strategy for an enterprise

Outcomes:

      Participate in test maturity assessments      Conduct evaluation of new/emerging tools and frameworks      Implement Best Practices Guidelines and Methodologies      Analyse Patterns of Issues in projects and propose solutions      Develop Test Data and Environment Strategy for an Enterprise Implement Test Reporting Frameworks

Measures of Outcomes:

     Test Coverage      Test Automation Coverage      Savings from Optimization      Savings from Automation      Defect Removal efficiency      No: of Kaizens initiated and implemented      Cost savings for the customer      Cost saving from carrying out Test Optimization exercise Continuous service improvements

Outputs Expected:

Test Strategy:

Define and implement test strategy Define and baseline tool strategies Define and document test environment and test data strategies Perform feasibility study for recommended solutions

Knowledge Management:

Publish best practices and guidelines
standards
white paper
etc.

Test Reporting:

Conduct cost benefit analysis

Test Design
Development
Execution:

Create strategies for test optimization Carry out gap analysis and identify improvement areas Identify program goals and define KPI's and SLA's Identify and implement industry wide best practices

Test Planning:

Perform test maturity assessments
provide recommendations and define roadmaps Identify candidate for automation by prioritization

Skill Examples:

     Ability to define test strategies      Ability to manage and evaluate the test tools and frameworks      Ability to Create re-usable assets      Ability to identify test practice gaps and provide recommendations      Ability to perform test maturity assessments Ability to define service improvement roadmaps

Knowledge Examples:

     Knowledge of Automation Techniques      Knowledge of Testing methodologies      Knowledge of Test Automation tools and frameworks      Knowledge of Automation ROI analysis      Knowledge of industry wide KPI's Knowledge of Test Data and Test Env requirement identification

Additional Comments:

Job Title: Test Data Management and ETL Testing Architect Location: Pune About the Role: We are seeking a highly skilled and experienced Test Data Management and ETL Testing Architect to join our dynamic team. This role is crucial for ensuring the quality and reliability of our data integration processes and test data management strategies. The ideal candidate will have a strong background in ETL processes, data warehousing, and test data management, along with excellent problem-solving and analytical skills. Key Responsibilities: - Design and Architecture: - Develop and implement comprehensive test data management strategies. - Design and architect ETL testing frameworks and processes. - Ensure data integrity and quality across all ETL processes. - Test Data Management: - Create, manage, and maintain test data sets for various testing environments. - Implement data masking and anonymization techniques to protect sensitive information. - Collaborate with development and QA teams to understand data requirements and ensure adequate test data coverage. - ETL Testing: - Develop and execute ETL test plans, test cases, and test scripts. - Perform data validation, data transformation, and data quality checks. - Identify, document, and track defects and issues, and work with development teams to resolve them. - Collaboration and Communication: - Work closely with business analysts, data engineers, and other stakeholders to understand business requirements and translate them into technical specifications. - Provide guidance and mentorship to junior team members. - Communicate effectively with cross-functional teams to ensure alignment and successful project delivery. - Tools and Technologies: - Utilize industry-standard tools for test data management and ETL testing (e.g., Informatica, Talend, SQL, Python). - Stay updated with the latest trends and best practices in test data management and ETL testing. Qualifications: - Bachelor's or master’s degree in Computer Science, Information Technology, or a related field. - 10-12 years of experience in test data management and ETL testing. - Strong knowledge of ETL processes, data warehousing, and data integration. - Proficiency in SQL and scripting languages (e.g., Python). - Experience with data masking and anonymization techniques. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills. Preferred Qualifications: - Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). - Certification in relevant tools and technologies (e.g., Informatica, Talend). - Experience with Agile methodologies and DevOps practices.