Senior Software Tester

Job Title:

Experience:

Location:

Responsibilities:

 Develop and implement data testing strategies and methodologies to ensure the accuracy, completeness, and integrity of data in P&C insurance software solutions.

 Conduct thorough data validation to identify and resolve data quality issues.

 Design comprehensive test plans, test cases, and test scenarios for data validation, ensuring coverage of data completeness, correctness, and consistency.

 Execute data testing activities, including both manual and automated tests, according to defined test plans and cases.

 Analyze source-to-target mappings and perform source system data verification.

 Validate data transformations, aggregations, and business rules implementation.

 Identify data anomalies and drive root-cause analysis in collaboration with developers and data engineers.

 Participate in data migration and data reconciliation testing across legacy and modern systems.

 Develop, maintain, and enhance automated test scripts and frameworks for data validation using SQL, Python, or similar scripting languages.

 Implement automated data validation checks to streamline the testing process and ensure timely detection of data issues.

 Test ETL processes to validate data extraction, transformation, and loading procedures.

 Ensure that data flows correctly through various stages of the ETL pipeline and meets predefined quality standards.

 Collaborate with development and data engineering teams to prioritize and resolve data-related defects promptly.

 Perform regression testing to ensure that data-related changes and enhancements do not introduce new data quality issues.

 Ensure adherence to established quality standards, processes, and best practices throughout the testing process.

Must Have:

 Bachelor’s degree in computer science, Information Technology, or related field.

 Minimum 5-7 years of experience in software quality assurance, with a focus on data testing and validation.

 Good understanding of Property and Casualty (P&C) insurance concepts, data models, and workflows. Knowledge of insurance-related data structures and regulatory requirements is advantageous.

 Strong skills in writing and executing complex SQL queries for data validation and analysis.

 Solid understanding of data testing principles, methodologies, and best practices. Experience with both manual and automated data testing.

 Proficiency in developing and maintaining automated test scripts and frameworks for data validation using tools such as Python, SQL, or similar scripting languages.

 Familiarity with ETL processes and tools for testing data extraction, transformation, and loading workflows.

 Experience with data quality assurance tools and frameworks, such as Informatica Data, ADF, Databricks, Talend, or similar.

 Knowledge of BI Reporting testing using tools like Power BI, Tableau, Qlik Sense or similar

 Familiarity with defect tracking and test management tools such as Jira, HP ALM, or similar.

 Strong understanding of regression testing techniques to ensure new changes do not impact existing data workflows.

 Proactive approach to taking ownership of tasks and driving them to completion.

 Proficiency in Agile methodologies and experience working in Agile environments.

 Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

 Strong analytical and critical thinking skills, with a keen diligence.

 Experience working in Agile environment following Onsite Offshore mode.

Good to Have:

 Relevant certifications such as ISTQB, ICP or Agile certifications are desirable.