IICS (NCS/Job/ 3769)

Job Description-

Job Title: Data Engineer – IICS & Snowflake

Role Summary

We are seeking an experienced Data Engineer with strong expertise in Informatica Intelligent Cloud Services (IICS) and Snowflake, along with domain knowledge in Healthcare & Life Sciences (HLS). The ideal candidate will design, build, and optimize scalable data pipelines supporting commercial, patient, clinical, or real-world data use cases.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using IICS
• Build scalable data models and transformations in Snowflake
• Implement data ingestion from structured and semi-structured sources (S3, APIs, flat files, etc.)
• Optimize Snowflake performance (clustering, micro-partitions, query tuning)
• Work with HLS datasets (claims, patient data, CRM, commercial sales, specialty pharmacy, etc.)
• Ensure data quality, governance, and compliance (HIPAA/GxP awareness preferred)
• Collaborate with business stakeholders for requirement gathering and solution design
• Support production deployments, troubleshooting, and performance tuning
• Implement CI/CD and version control best practices

Required Skills

Technical:

• 5+ years of experience in Data Engineering
• Strong hands-on experience with Informatica IICS (CAI/CDI/MDM preferred)
• Strong Snowflake experience (SQL, performance tuning, data modeling)
• Advanced SQL and data transformation expertise
• Experience with cloud platforms (AWS/Azure preferred)
• Understanding of data warehousing concepts (SCD, Star/Snowflake schema)
• Experience handling large datasets and performance optimization
• Familiarity with APIs, JSON, XML, and semi-structured data

Domain (HLS):

• Experience working in Healthcare or Life Sciences domain
• Understanding of:
  • Claims data (Komodo, IQVIA, Symphony, etc.)
  • Specialty pharmacy / Patient Support Programs (PSP)
  • CRM (Veeva/SFDC)
  • Commercial sales analytics
  • Regulatory/compliance requirements

Good to Have

• Experience with Omnichannel analytics (Adobe, GA, email metrics)
• Exposure to Patient Data, HUB services, or Rare Disease analytics
• Knowledge of data governance tools