Virtusa
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Hyderabad · On-site · 3-6 Yrs · 4 days ago
Information Technology Support Services · 10000+ Employees · Westborough, US
At Virtusa, we spark change through our Digital Transformation Studio, delivering deep digital engineering and industry expertise through client-specific and integrated agile scrum teams. We work with Global 2000 companies and leading software vendors in domains like Communications & Technology, Banking & Financial Services, Insurance, Telecommunications, and Media, Information & Entertainment. Simply put, we build and sustain application platforms, giving our clients a competitive advantage over their peers. Incepted in 1996, Virtusa is headquartered in New York City and has offices and technology centers across the United States, Europe, the Middle East, and Asia.
Hiring: Engineering
What employees say
+ Good, The project i am currently working have great managers
− no cab facility, No hikes
More reviews on the company profile.
Interview experience · Associate Architect
Just had my first round of the interview. The experience was good, and I was able to answer the questions confidently. Now waiting for the feedback. Most of the questions were scenario based.
Average difficulty · Pune · 1,913 reports
More interview insightsJob description
Overview
Virtusa is looking for a hands-on Mid-Level Data Quality Engineer (DQE) to join our Data Quality
Responsibilities
- Implement DQE frameworks within Azure
- Work closely with Data Stewards and the DQA Lead to
- Integrate your automated data quality tests directly into
- Build programmatic alerts and log DQE results into centralized
- Actively utilize AI coding assistants to accelerate the writing of PySpark/SQL code, generate unit tests, and
- 3–6 years of hands-on experience in Data Engineering, Data Analytics, or
- Strong proficiency in Python and SQL. You must be comfortable
- Proven hands-on experience with Databricks
- Solid understanding of version control (Git) and experience
- A strong belief that data quality should be treated as a software
- Previous experience working with healthcare data and a basic understanding of PHI/PII handling requirements.
- Exposure to modern open-source or enterprise data quality
Qualifications
- 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
- 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
- Software Quality Engineering with a heavy data focus.
- Core Languages: Strong 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.
- 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,.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Sr DQA-Databricks-Snowflake at Virtusa?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Virtusa may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr DQA-Databricks-Snowflake role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr DQA-Databricks-Snowflake remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Sr DQA-Databricks-Snowflake role at Virtusa?
- This is a senior Sr DQA-Databricks-Snowflake role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.