Role Proficiency:

Ensuring adherence to test practices and process to improve test coverage

Outcomes:

     Create Test Estimates and Schedules      Identify business processes conduct risk analysis and ensure test coverage      Ensure adherence of processes and standards      Produce test results defect reports test logs and reports for evidence of testing      Publish RCA reports and preventive measures      Report progress of testing      Contribute for Revenue savings for client by suggesting alternate method Quality of Deliverables

Measures of Outcomes:

Test Script Creation and Execution Productivity Defect Leakage Metrics (% of defect leaked % of UAT defects and % of Production defects) % of Test case reuse Test execution Coverage Defect Acceptance Ratio Test Review efficiency

Outputs Expected:

Test Design
Development
Execution:

Participate in review
walkthrough
demo and obtain sign off by stakeholder for Test Design Prepare Test summary report for modules/features

Requirements Management:

Analyse
Prioritize
Identify Gaps and create workflow diagrams based on Requirements/User stories

Manage Project:

Participate in Test management

Domain relevance:

Identify business processes
conduct risk analysis and ensure test coverage

Estimate:

Prepare Estimate
Schedule
Identify dependencies

Knowledge Management:

Consume
Contribute
Review (Best Practices
Lesson learned
Retrospective)

Test Design
Execution:

Test Plan preparation
Test Case/Script Creation
Test Execution

Test & Defect Management:

Conduct root cause and trend analysis of the defects

Test Planning:

Identify the test scenarios with understanding of systems
interfaces and application Identify end-to-end business critical scenarios with minimal support Create/Review the test scenarios and prepare RTM

Skill Examples:

     Ability to create and manage a test plan      Ability to prepare schedules based on estimates      Ability to track and report progress      Ability to identify test scenarios and prepare RTM      Ability to analyse requirement/user stories and prioritize testing      Ability to carry out RCA Ability to capture and report metrics

Knowledge Examples:

     Knowledge of Estimation techniques      Knowledge of Testing standards      Knowledge of identifying the scope of testing      Knowledge of RCA Techniques      Knowledge of Test design techniques Knowledge of Test methodologies

Additional Comments:

We are seeking a detail-oriented and technically proficient Big Data Testing Engineer to validate large-scale data pipelines and ensure data integrity across big data platforms. The ideal candidate will have hands-on experience with SQL, Hive, and Amazon Redshift, and be capable of designing and executing comprehensive test strategies for complex data environments. Key Responsibilities: Design and implement test plans and test cases for big data applications and ETL pipelines. Perform data validation, reconciliation, and quality checks across large datasets. Write and execute complex SQL queries to validate data transformations and aggregations. Test data ingestion and processing workflows in Hive and Redshift environments. Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and ensure accuracy. Identify data anomalies and work with development teams to resolve issues. Automate data validation processes where applicable. Required Skills: Big Data Testing: Strong understanding of big data ecosystems and testing methodologies. SQL: Advanced SQL skills for data validation, profiling, and transformation testing. Hive: Experience with HiveQL and Hadoop-based data processing. Redshift: Familiarity with Amazon Redshift architecture, performance tuning, and query optimization. ETL Testing: Knowledge of ETL tools and data pipeline validation. Analytical Skills: Ability to analyze large datasets and identify inconsistencies.