SAS Developer

1. Manage SAS LSF job scheduling, automation, and performance optimization.
2. Develop and automate ETL processes and ensure data accuracy.
3. Collaborate with business, data, and actuarial teams to deliver insights.
4. Support regulatory and compliance reporting in the insurance domain.

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Quality Engineer
• Employment type - Full Time - On Contract
• Work Mode - Hybrid

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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