Job Requirements Virtusa is looking for a hands-on Mid-Level Data Quality Engineer (DQE) to join our Data Quality Center of Excellence (CoE) delivery team for a premier healthcare payer client. You will play a crucial role in operationalizing a "Shift-Left" data quality strategy—building automated validation checks natively within Databricks and Snowflake to catch data anomaliesHands-On DQxC Development Write Quality Code: Develop robust, modular data quality rules and validation scripts using Python, PySpark, and SQL to profile and validate large volumes of healthcare data. Databricks & Snowflake Execution: Implement DQE frameworks within Azure Databricks (processing Delta tables) and Snowflake to ensure data accuracy, completeness, and consistency. Translate Rules to Code: Work closely with Data Stewards and the DQA Lead to translate documented business data rules (e.g., valid ICD-10 codes, NPI formats) into executable automated checks. Pipeline Integration & Automation Shift-Left Implementation: Integrate your automated data quality tests directly into Azure DevOps CI/CD pipelines Continuous Monitoring: Build programmatic alerts and log DQE results into centralized observability dashboards so the business can monitor data health in real-time.



Leverage Gen AI: Actively utilize AI coding assistants to accelerate the writing of PySpark/SQL code, generate unit tests, and document data quality scripts. Technical Expertise

Experience:
3–6 years of hands-on experience in Data Engineering, Data Analytics, or Software Quality Engineering with a heavy data focus. Core Languages: Robust proficiency in Python and SQL. You must be comfortable writing complex queries and modular Python scripts. Data Platforms: Proven hands-on experience with Databricks Code Management: Solid understanding of version control (Git) and experience working within CI/CD workflows (Azure DevOps preferred). Automation-First: A strong belief that data quality should be treated as a software engineering discipline—automated, version-controlled, and tested. Preferred Qualifications Healthcare Exposure: Previous experience working with healthcare data and a basic understanding of PHI/PII handling requirements. DQ Frameworks: Exposure to modern open-source or enterprise data quality frameworks such as Great Expectations, dbt tests, Soda,. Work Experience 7-10Years

📌 Sr DQA-Databricks-Snowflake (Hyderabad)
🏢 Virtusa
📍 Hyderabad