# Data Specialist - R01565207 at Brillio

Data Specialist - R01565207 at Brillio in Bangalore, Karnataka, India. Hybrid. Posted May 12, 2026.

- Company: Brillio
- Location: Bangalore, Karnataka, India
- Workplace: Hybrid
- Experience: 4+ years
- Posted: 2026-05-12
- Apply: https://jobs.lever.co/brillio-2/45c66f65-4e65-4393-a31e-19632415dcc1/apply
- Source: https://jobmagic.ai/jobs/data-specialist-r01565207-brillio-w5sd31

## Requirements

- Job Title: Data Engineer – IICS & Snowflake (Healthcare / Life Sciences) 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: 4–8+ 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

## Description

**Consultant**

### Primary Skills

- ETL Fundamentals, SQL, SQL (Basic + Advanced), Alation, Talend, Python, Data Warehousing, IICS, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

### Specialization

- ETL Specialization: Senior Data Engineer

### Job requirements

- Job Title: Data Engineer – IICS & Snowflake (Healthcare / Life Sciences) 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: 4–8+ 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