Data Specialist
At Brillio · Bangalore, Karnataka, India
- Data and ML
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Where you’ll work
Hybrid, based in Bengaluru
“Bangalore, Karnataka, India”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 12 May 2026
- First seen by us
- 3 November 2026
- Last checked
- 15 hours ago
Job description
From Brillio’s job post, as they wrote it.
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
Data SpecialistBrillio
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