Data Engineer (India)

Data Engineer (India)

02 Oct
|
GSMS
|
India

02 Oct

GSMS

India

Location: Fully remote within India
Employment: Full-time, dedicated to GSMS through an Employer of Record in India
Reports to: Lead Data Engineer
Annual fixed gross salary: ₹16,00,000–₹24,00,000, plus incentive compensation
Working hours: 2:00–10:00 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 compete—and 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.

We’re 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, we’re integrating AI and large language models into a governed process for building, reviewing, and validating solutions.
You’ll join a dedicated GSMS team, work directly with business users, and take lasting ownership of solutions that shape how the company competes.

The opportunity
You’ll keep business-critical data pipelines running reliably while helping modernize the platform behind them.

Your initial focus will be SQL Server and Azure Data Factory: maintaining pipelines, investigating failures, and improving existing business logic. You’ll also contribute to our Fabric migration and transition into supporting the current environment as workloads move.

This is a mid-level role with

📌 Data Engineer (India)
🏢 GSMS
📍 India

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