Data Quality Engineer

Location: Fully remote within India
Employment: Full-time, dedicated to GSMS through an Employer of Record in India
Reports to: Lead Data Quality Engineer
Annual fixed gross salary: 12,00,000 to 18,00,000, plus incentive compensation
Working hours: 2:00 to 10:00 PM IST, fixed year-round

About GSMS

GSMS is the largest provider of generic pharmaceuticals to the US federal healthcare system, serving the Department of Veterans Affairs, Department of Defense, and other government healthcare organizations.

Data is central to how we competeand win. Our data and analytics capabilities are a defining competitive advantage. The intelligence we develop about the government pharmaceutical market helps GSMS identify opportunities, shape our product portfolio, make competitive pricing decisions, and grow market share. Across sales, manufacturing, distribution, and daily operations, colleagues depend on our insights to decide where to act and how to succeed.

Were embarking on a company-wide AI transformation. Our 24-month implementation roadmap will bring AI and advanced analytics into how teams make decisions and get work done across GSMS.

Modernizing our platform on Microsoft Fabric provides a foundation for self-service analytics, data and operational agents, and workflow automation. Within engineering, were integrating AI and large language models into a governed process for building, reviewing, and validating solutions.

Youll join a dedicated GSMS team, work directly with business users, and take lasting ownership of solutions that shape how the company competes.

The opportunity

Youll help ensure the data and reports used across GSMS are accurate, consistent, and dependable.

Working under the Lead Data Quality Engineer and alongside other quality colleagues, youll focus on daily quality operations: maintaining checks, investigating discrepancies, and testing changes to ETL pipelines and BI reports.

Youll also support migration testing and develop the skills to work across our future Fabric environment. This is a mid-level role with opportunities to deepen your automation and quality engineering expertise.

What youll do

• Write and maintain SQL checks for completeness, accuracy, duplicates, and business-rule compliance.
• Reconcile source data, transformed datasets, and reporting outputs.
• Monitor quality checks and trace failures and discrepancies to their source.
• Test changes to ETL pipelines, warehouse models, and Power BI reports.
• Compare report results with independent SQL calculations using equivalent filters and business rules.
• Maintain automated checks and repeatable test cases within the teams framework.
• Document defects with clear evidence and verify fixes with engineers.
• Assist with migration reconciliation and Product Owner-led UAT.
• Develop Fabric and automation skills.
• Use approved AI tools with appropriate validation of outputs.

What you’ll bring

• Typically 3+ years in ETL testing, warehouse testing, data quality, or related data engineering.
• Strong SQL skills for comparing datasets, reconciling totals, and investigating discrepancies.
• Experience writing automated data checks, beyond executing manual test cases.
• Experience testing ETL transformations and relational data.
• Familiarity with validating BI reports against underlying data.
• Experience maintaining test cases, tracking defects, and verifying fixes.
• Clear written and spoken English and structured problem-solving.

Helpful additional experience

• SQL Server and Azure Data Factory.
• Power BI report testing.
• Python, PySpark, or automated testing frameworks.
• Microsoft Fabric or another cloud data platform.
• Pharmaceutical, healthcare, or distribution data.

Compensation and benefits

• Annual fixed gross salary of 12,00,000–18,00,000, based on relevant skills and experience.
• Additional incentive compensation based on individual and company performance.
• Comprehensive medical insurance with family coverage options.
• Life insurance.
• Paid leave and holidays.
• Remote-work support.

Working arrangement

• This is a dedicated, full-time position, with employment administered through an Employer of Record (EOR) in India.
• Your day-to-day work, team relationships, and priorities will be with GSMS.
• Working hours are 2:00–10:00 PM IST, fixed year-round, providing overlap with US colleagues. Production support takes place within these hours.
• You must be available during scheduled working hours and may not hold another full-time job concurrently. Any outside work must comply with the applicable employment agreement and conflict-of-interest policy.