BR
BrillioData Specialist - R01565207
LocationBangalore, Karnataka, India
Work modehybrid
Typefull-time
SenioritySenior
Experience4–8 yrs
DepartmentAI & Data Engineering, AI & Data Engineering : Data Engineering
Company size5,001–10,000 people
PostedMay 12, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
Experience working in Healthcare or Life Sciences domain
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
Experience with cloud platforms (AWS/Azure preferred)
Understanding of Claims data (Komodo, IQVIA, Symphony, etc.)
Understanding of Specialty pharmacy / Patient Support Programs (PSP)
Understanding of CRM (Veeva/SFDC)
Understanding of Commercial sales analytics
Understanding of Regulatory/compliance requirements
Ensure data quality, governance, and compliance (HIPAA/GxP awareness preferred)
Skills
ETL
SQL
Alation
Talend
Python
Snowflake
IICS
PL/SQL
T-SQL
Stored Procedures
AWS
Azure
Veeva
Salesforce
JSON
XML
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