Quality Analyst

VLink Inc

VLink is a leading global provider of software engineering services with next‑gen technologies and best‑in‑class talent.

Great Place to Work® Certified™

Best Places to Work in CT

• Participate in the development of ams/pas data testing data testing frameworks to validate data pipelines across ETL/ELT processes.
• Ensure data accuracy, completeness, and consistency across systems such as Applied Epic, ivans download, Guidewire, and integrated platforms like Salesforce FSC.
• Build automated testing solutions to validate large volumes of policy, claims, billing, and customer data in real time.
• Leverage tools such as Great Expectations, Soda, or custom Python/SQL test harnesses to automate quality assurance processes.
• Validate data migration efforts from legacy systems (e.g., on‑prem databases, flat files) to cloud platforms such as AWS, Azure, or GCP.
• Ensure that all data transformations, mappings, and business rules retain fidelity during cloud transitions.
• Integrate data testing into Dev Ops pipelines using Jenkins, Git Hub Actions, Azure Dev Ops, or similar tools.
• Support continuous integration and delivery practices by automating regression, smoke, and sanity testing on data assets.
• Design reusable synthetic and masked data sets for comprehensive and compliant test coverage.
• Develop self‑service test data provisioning models to support QA, UAT, and SIT phases in insurance data projects.
• Work closely with data engineers, QA teams, and business analysts to understand evolving data requirements and downstream impacts.
• Serve as the data quality advocate across the personal lines business—underwriting, claims, billing, and customer service.
• Strong knowledge of Insurance Pricing, Quoting, comparative rater manual testing knowledge.
• Worked on testing Agency to Carrier testing and binding, issuance process and workflow for personal lines.
• Validate APIs and batch integrations between Applied Epic, Ivans Download, AMS Platforms, Vertafore, Guidewire PC, DC, and external platforms like Salesforce FSC, or partner portals.
• Ensure that customer and policyholder data flows correctly through system interfaces and matches expected formats and rules.
• Use anomaly detection techniques and tools to flag irregularities in premium, claims, and customer data early in the lifecycle.
• Recommend and help implement fixes or automated alerts to reduce operational and regulatory risk.
• Support regulatory audits and reporting by ensuring lineage, traceability, and testing documentation is always current.
• Assist in maintaining data integrity for compliance with NAIC, HIPAA, CCPA, GDPR, and other standards.

• 3–4 years of hands‑on experience in data testing, guidewire datasets, or quality engineering, preferably within the insurance industry.
• Strong domain knowledge in Personal Lines Insurance (Auto, Homeowners, Renters, etc.), including policy, billing, and customer data.
• Applied Epic – understanding of agency management system data structure.
• Guidewire (Policy Center) – familiarity with data schema, business rules, and integration points.
• Exposure to Salesforce Financial Services Cloud (FSC) or Salesforce CRM data models (add‑on but highly desirable).
• Understanding of insurance data flows, regulatory reporting, and compliance needs.
• Strong expertise in SQL for data profiling, validation, and comparison across systems.
• Great Expectations, Datafold, Soda, Informatica Data Quality, or Talend DQ.
• Proficiency in at least one scripting language (e.g., Python) to build custom validation tools or test scripts.
• Familiarity with ETL/ELT testing for data pipelines developed in tools like dbt, Apache Airflow, Informatica, or Talend.
• Understanding data warehousing, Lakehouse architectures, and cloud‑native data processing frameworks.
• Ability to test data across multiple systems and APIs, validating end‑to‑end data movement from source (e.g., Guidewire) to target (e.g., warehouse or BI tool).
• Familiarity with API testing tools like Postman, SoapUI, or REST Assured (especially for validating insurance platform integrations).
• Knowledge of data privacy and compliance testing practices related to GDPR, CCPA, HIPAA, and NAIC guidelines.
• Ability to support audit trails and test documentation for regulatory data flows and reports.
• Experience integrating data testing in CI/CD pipelines using Jenkins, Git Lab, Azure Dev Ops, or similar tools.

Warm Regards,

O:  Ext: 248