Virtusa
Lead Software Engineer
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Supply Chain Data Consultant – Life Sciences
We are seeking a highly skilled and strategic Supply Chain Data Consultant – Life Sciences to join our data operations team. In this role, you will bridge the gap between complex technical data engineering and executive business decision-making. You will architect robust data pipelines, implement AI-powered data profiling and anomaly detection, and deliver actionable business intelligence that drives operational efficiency and revenue growth.
The ideal candidate possesses deep hands-on expertise in SQL, data warehouse architecture, ETL/Databricks pipeline development, and functional business analysis. You will act as the crucial liaison between cross-functional business stakeholders and engineering teams to transform raw enterprise data into scalable, insight-driven technical solutions.
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Key Responsibilities
AI-Driven Analytics & Profiling
- Architect and implement AI-powered data profiling, anomaly detection, and automated mapping workflows across enterprise systems.
- Apply predictive analytics to identify process optimization opportunities and enhance overall customer experience.
- Document profiling, source-to-target mapping, and data transformation rules using modern, AI-assisted methods.
Business Analysis & Stakeholder Management
- Gather complex business requirements and translate them into functional design documents and scalable technical specifications.
- Drive cross-functional alignment between business teams, data engineers, and BI developers to ensure reporting accuracy.
- Conduct trend identification, KPI development, and advanced SQL data exploration to support operational insights.
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Data Pipeline & Engineering Oversight
- Build, optimize, and oversee scalable SQL and Spark-based data pipelines for high-volume data processing.
- Leverage Databricks, Delta Lake, and modern cloud technologies to ensure reliable, incremental, and versioned data ingestion and transformation.
- Implement reusable data quality checks and proactive troubleshooting strategies across ingestion layers to minimize system downtime.
- Support BI dashboard generation and modern reporting infrastructure through structured data model reviews.
Required Qualifications & Experience
- Experience: 10–12+ years of experience spanning Data Engineering, ETL Development, and Business Data Analysis.
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