Job Requirements Virtusa is seeking a highly experienced Senior Data Quality Assurance (DQA) Analyst to act as the vital bridge between business stakeholders and data engineering Pods for a premier healthcare payer client’s Data Quality Center of Excellence (CoE). As the requirements anchor for your Agile Pod, you will own the end-to-end lifecycle of Data Quality Requirements. Responsibilities Full-Lifecycle DQ Requirements & Stakeholder Sign-Off Ingestion to Consumption Specification: Lead the collection, analysis, and detailed specification of data quality requirements across the entire data lifecycle ready for Databricks/Snowflake implementation. Azure DevOps (ADO) & Agile Artifact Management Epic & User Story Creation: Act as the primary author and owner of all Agile artifacts within Azure DevOps. Translate the CoE roadmap and business requirements into well
- structured Epics, Features, User Stories, and granular Tasks. Backlog Grooming & Sprint Planning: Lead backlog refinement sessions with the DQA Engineering Lead and developers, ensuring Acceptance Criteria for every DQ rule are explicitly defined, testable, and strictly adhered to. Required Qualifications Experience & Domain Expertise 10+ Years of

Experience:




Extensive background as a Data Analyst, Systems Analyst, Healthcare Payer Expertise: Deep knowledge of healthcare payer data domains, including Claims processing, Member enrollment, Provider networks, and clinical data compliance. Agile / Scrum Mastery: Deep, practical experience operating in Agile delivery models Azure DevOps (ADO) Mastery: Proven, hands-on expertise in administering and structuring work within Azure DevOps Advanced SQL: Highly proficient in writing complex SQL queries for data profiling, exploration, and validation across relational and cloud databases. Data Quality Concepts: Deep understanding of core data quality dimensions Preferred Qualifications Shift-Left Understanding: Conceptual understanding of CI/CD pipelines and how data quality checks are integrated programmatically into automated data engineering workflows. Gen AI Familiarity: Experience using AI tools for business analysis, writing Agile user stories, or metadata harvesting. Up-to-date Data Platforms: Familiarity with the concepts of Azure Databricks, Snowflake, and Medallion architecture. Work Experience 7-10Years

📌 DQA Analyst – Agile (Hyderabad)
🏢 Virtusa
📍 Hyderabad