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:

1. Claims data (Komodo, IQVIA, Symphony, etc.)

2. Specialty pharmacy / Patient Support Programs (PSP)

3. CRM (Veeva/SFDC)

4. Commercial sales analytics

5. 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.

- Snowflake certification or Informatica certification.

- Agile / SAFe experience.

Soft Skills:

- Strong analytical and problem-solving skills.

- Ability to work in cross-functional global teams.

- Strong stakeholder communication.

- Ownership mindset and delivery accountability.